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Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
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Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins
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Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
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Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data
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FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation
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Analogy-Forming Transformers for Few-Shot 3D Parsing
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Leveraging Large Language Models for Multiple Choice Question Answering
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DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images
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Regression with Label Differential Privacy
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Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition
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Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing
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How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules
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Semi-Implicit Variational Inference via Score Matching
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Coupled Multiwavelet Operator Learning for Coupled Differential Equations
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TrojText: Test-time Invisible Textual Trojan Insertion
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Task-Aware Information Routing from Common Representation Space in Lifelong Learning
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GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks
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Combinatorial Pure Exploration of Causal Bandits
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Provable Memorization Capacity of Transformers
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What Makes Convolutional Models Great on Long Sequence Modeling?
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Learning Multimodal Data Augmentation in Feature Space
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Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization
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Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
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Learning Human-Compatible Representations for Case-Based Decision Support
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Stable Target Field for Reduced Variance Score Estimation in Diffusion Models
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Sequential Learning of Neural Networks for Prequential MDL
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The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation
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Evaluating Representations with Readout Model Switching
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SCoMoE: Efficient Mixtures of Experts with Structured Communication
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The Role of Coverage in Online Reinforcement Learning
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PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
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GEASS: Neural causal feature selection for high-dimensional biological data
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Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems
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SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing
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Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps
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Neural Bregman Divergences for Distance Learning
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MIMT: Masked Image Modeling Transformer for Video Compression
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A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
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ChiroDiff: Modelling chirographic data with Diffusion Models
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Out-of-Distribution Detection and Selective Generation for Conditional Language Models
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When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning
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Stochastic No-regret Learning for General Games with Variance Reduction
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Compositional Task Representations for Large Language Models
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An Additive Instance-Wise Approach to Multi-class Model Interpretation
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Reparameterization through Spatial Gradient Scaling
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Quality-Similar Diversity via Population Based Reinforcement Learning
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Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
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Understanding Influence Functions and Datamodels via Harmonic Analysis
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MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY
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Interpretability with full complexity by constraining feature information
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Hyper-Decision Transformer for Efficient Online Policy Adaptation
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HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
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Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL
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Pruning Deep Neural Networks from a Sparsity Perspective
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Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus
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Dual Student Networks for Data-Free Model Stealing
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Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity
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Mosaic Representation Learning for Self-supervised Visual Pre-training
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A Theoretical Framework for Inference and Learning in Predictive Coding Networks
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Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning
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Energy-Inspired Self-Supervised Pretraining for Vision Models
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A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
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Random Laplacian Features for Learning with Hyperbolic Space
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Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel
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Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay
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Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
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Spiking Convolutional Neural Networks for Text Classification
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CircNet: Meshing 3D Point Clouds with Circumcenter Detection
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Learning Harmonic Molecular Representations on Riemannian Manifold
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Self-Consistency Improves Chain of Thought Reasoning in Language Models
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Learning Language Representations with Logical Inductive Bias
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Schema Inference for Interpretable Image Classification
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First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
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Concept-level Debugging of Part-Prototype Networks
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CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
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Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
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Prototypical Calibration for Few-shot Learning of Language Models
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Serving Graph Compression for Graph Neural Networks
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Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
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MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection
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BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion
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Calibrating the Rigged Lottery: Making All Tickets Reliable
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VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis
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Contrastive Audio-Visual Masked Autoencoder
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Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
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Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks
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Statistical Guarantees for Consensus Clustering
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Diffusion-GAN: Training GANs with Diffusion
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Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning
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Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning
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ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation
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Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders
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NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image Pairs
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Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
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Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules
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In-sample Actor Critic for Offline Reinforcement Learning
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PV3D: A 3D Generative Model for Portrait Video Generation
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Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
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Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks
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MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask Fusion
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Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation
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Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game
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DensePure: Understanding Diffusion Models for Adversarial Robustness
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Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
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EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
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OpenReview]
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Budgeted Training for Vision Transformer
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Optimal Activation Functions for the Random Features Regression Model
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Sequential Gradient Coding For Straggler Mitigation
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TempCLR: Temporal Alignment Representation with Contrastive Learning
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Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
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Toward Adversarial Training on Contextualized Language Representation
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Equivariant Hypergraph Diffusion Neural Operators
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Learning to Grow Pretrained Models for Efficient Transformer Training
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RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
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OpenReview]
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NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes
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OpenReview]
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Function-space regularized Rényi divergences
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DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics
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Effective passive membership inference attacks in federated learning against overparameterized models
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CoRTX: Contrastive Framework for Real-time Explanation
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LMSeg: Language-guided Multi-dataset Segmentation
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Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning
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Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
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Using Language to Extend to Unseen Domains
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A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond
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Deja Vu: Continual Model Generalization for Unseen Domains
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Logical Message Passing Networks with One-hop Inference on Atomic Formulas
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Transformers Learn Shortcuts to Automata
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IDEAL: Query-Efficient Data-Free Learning from Black-Box Models
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Guiding Energy-based Models via Contrastive Latent Variables
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MECTA: Memory-Economic Continual Test-Time Model Adaptation
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Information Plane Analysis for Dropout Neural Networks
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UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining
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Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
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MocoSFL: enabling cross-client collaborative self-supervised learning
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Distilling Cognitive Backdoor Patterns within an Image
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HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings
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Improved Learning-augmented Algorithms for k-means and k-medians Clustering
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Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer
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Neural Compositional Rule Learning for Knowledge Graph Reasoning
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Quantized Compressed Sensing with Score-Based Generative Models
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Latent Neural ODEs with Sparse Bayesian Multiple Shooting
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$\mathcal{O}$-GNN: incorporating ring priors into molecular modeling
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Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
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FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
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Learning Fast and Slow for Online Time Series Forecasting
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VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation
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$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks
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Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms
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FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
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Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
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Automated Data Augmentations for Graph Classification
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A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance
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Dataset Pruning: Reducing Training Data by Examining Generalization Influence
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Delving into Semantic Scale Imbalance
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On the Trade-Off between Actionable Explanations and the Right to be Forgotten
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AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection
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Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
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Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules
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Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process
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Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data
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EVC: Towards Real-Time Neural Image Compression with Mask Decay
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Better Generative Replay for Continual Federated Learning
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Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
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Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
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DepthFL : Depthwise Federated Learning for Heterogeneous Clients
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Do We Really Need Complicated Model Architectures For Temporal Networks?
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Robust and Controllable Object-Centric Learning through Energy-based Models
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Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
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Denoising Masked Autoencoders Help Robust Classification
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DiffEdit: Diffusion-based semantic image editing with mask guidance
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Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
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Boosting Causal Discovery via Adaptive Sample Reweighting
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Understanding weight-magnitude hyperparameters in training binary networks
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BAYES RISK CTC: CONTROLLABLE CTC ALIGNMENT IN SEQUENCE-TO-SEQUENCE TASKS
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A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
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SQA3D: Situated Question Answering in 3D Scenes
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Guiding continuous operator learning through Physics-based boundary constraints
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LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval
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A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming
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On Explaining Neural Network Robustness with Activation Path
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New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
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Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks
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Empowering Graph Representation Learning with Test-Time Graph Transformation
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Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
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DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training
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Efficient Offline Policy Optimization with a Learned Model
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Defending against Adversarial Audio via Diffusion Model
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Unsupervised Learning for Combinatorial Optimization Needs Meta Learning
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Revisit Finetuning strategy for Few-Shot Learning to Transfer the Emdeddings
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Progressive Prompts: Continual Learning for Language Models
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Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
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Virtual presentation / top 25% paper
None
Faster Gradient-Free Methods for Escaping Saddle Points
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance
[
Slides]
[
OpenReview]
Virtual presentation / top 25% paper
None
InCoder: A Generative Model for Code Infilling and Synthesis
[
OpenReview]
Virtual presentation / poster accept
None
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
[
OpenReview]
Virtual presentation / poster accept
None
A General Rank Preserving Framework for Asymmetric Image Retrieval
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Score-based Continuous-time Discrete Diffusion Models
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Any-scale Balanced Samplers for Discrete Space
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
[
OpenReview]
Virtual presentation / poster accept
None
Order Matters: Agent-by-agent Policy Optimization
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Differentiable Mathematical Programming for Object-Centric Representation Learning
[
OpenReview]
Virtual presentation / poster accept
None
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Scalable Subset Sampling with Neural Conditional Poisson Networks
[
OpenReview]
Virtual presentation / top 25% paper
None
Spectral Augmentation for Self-Supervised Learning on Graphs
[
OpenReview]
Virtual presentation / poster accept
None
Policy-Based Self-Competition for Planning Problems
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams.
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
CrAM: A Compression-Aware Minimizer
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Visually-Augmented Language Modeling
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
A theoretical study of inductive biases in contrastive learning
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Incremental Learning of Structured Memory via Closed-Loop Transcription
[
OpenReview]
Virtual presentation / poster accept
None
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
[
OpenReview]
Virtual presentation / top 25% paper
None
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
[
OpenReview]
Virtual presentation / poster accept
None
Boosting Adversarial Transferability using Dynamic Cues
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Benchmarking Constraint Inference in Inverse Reinforcement Learning
[
OpenReview]
Virtual presentation / poster accept
None
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation
[
OpenReview]
Virtual presentation / poster accept
None
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Towards Inferential Reproducibility of Machine Learning Research
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Asymptotic Instance-Optimal Algorithms for Interactive Decision Making
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
[
Slides]
[
OpenReview]
Virtual presentation / poster accept
None
Long-Tailed Partial Label Learning via Dynamic Rebalancing
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Task Ambiguity in Humans and Language Models
[
Slides]
[
OpenReview]
Virtual presentation / poster accept
None
Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
[
OpenReview]
Virtual presentation / poster accept
None
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing
[
OpenReview]
Virtual presentation / poster accept
None
Free Lunch for Domain Adversarial Training: Environment Label Smoothing
[
Poster]
[
OpenReview]
Virtual presentation / top 5% paper
None
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Brain-like representational straightening of natural movies in robust feedforward neural networks
[
OpenReview]
Virtual presentation / poster accept
None
Federated Learning from Small Datasets
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Multi-level Protein Structure Pre-training via Prompt Learning
[
OpenReview]
Virtual presentation / poster accept
None
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Re-calibrating Feature Attributions for Model Interpretation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Memory Gym: Partially Observable Challenges to Memory-Based Agents
[
OpenReview]
Virtual presentation / poster accept
None
Graph Contrastive Learning for Skeleton-based Action Recognition
[
Poster]
[
OpenReview]
Virtual presentation / top 5% paper
None
Towards Open Temporal Graph Neural Networks
[
Slides]
[
OpenReview]
Virtual presentation / poster accept
None
Characterizing the Influence of Graph Elements
[
OpenReview]
Virtual presentation / poster accept
None
Asynchronous Distributed Bilevel Optimization
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Simple and Scalable Nearest Neighbor Machine Translation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations
[
OpenReview]
Virtual presentation / poster accept
None
Equivariant Energy-Guided SDE for Inverse Molecular Design
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
A Differential Geometric View and Explainability of GNN on Evolving Graphs
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
[
OpenReview]
Virtual presentation / poster accept
None
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
[
OpenReview]
Virtual presentation / poster accept
None
BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging
[
Poster]
[
OpenReview]
Virtual presentation / top 5% paper
None
Transfer NAS with Meta-learned Bayesian Surrogates
[
OpenReview]
Virtual presentation / poster accept
None
Hierarchical Sliced Wasserstein Distance
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Supervision Complexity and its Role in Knowledge Distillation
[
OpenReview]
Virtual presentation / poster accept
None
LipsFormer: Introducing Lipschitz Continuity to Vision Transformers
[
OpenReview]
Virtual presentation / poster accept
None
Automatic Chain of Thought Prompting in Large Language Models
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Near-Optimal Adversarial Reinforcement Learning with Switching Costs
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Federated Nearest Neighbor Machine Translation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Language Models are Realistic Tabular Data Generators
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Alignment
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Words are all you need? Language as an approximation for human similarity judgments
[
OpenReview]
Virtual presentation / top 5% paper
None
Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Mitigating Memorization of Noisy Labels via Regularization between Representations
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Towards Robustness Certification Against Universal Perturbations
[
OpenReview]
Virtual presentation / poster accept
None
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
PiFold: Toward effective and efficient protein inverse folding
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Capturing the Motion of Every Joint: 3D Human Pose and Shape Estimation with Independent Tokens
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Mind the Gap: Offline Policy Optimization for Imperfect Rewards
[
OpenReview]
Virtual presentation / poster accept
None
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
@ MH1-2-3-4 None
Make-A-Video: Text-to-Video Generation without Text-Video Data
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
@ MH1-2-3-4 None
kNN-Diffusion: Image Generation via Large-Scale Retrieval
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Is a Caption Worth a Thousand Images? A Study on Representation Learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
NTK-SAP: Improving neural network pruning by aligning training dynamics
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Revisiting the Assumption of Latent Separability for Backdoor Defenses
[
OpenReview]
Virtual presentation / poster accept
None
Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Restricted Strong Convexity of Deep Learning Models with Smooth Activations
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Quasi-optimal Reinforcement Learning with Continuous Actions
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
[
OpenReview]
Virtual presentation / poster accept
None
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs
[
OpenReview]
Virtual presentation / poster accept
None
Basic Binary Convolution Unit for Binarized Image Restoration Network
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Compositional Law Parsing with Latent Random Functions
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and Acceleration
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Instance-wise Batch Label Restoration via Gradients in Federated Learning
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Decompositional Generation Process for Instance-Dependent Partial Label Learning
[
OpenReview]
Virtual presentation / poster accept
None
Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition
[
OpenReview]
Virtual presentation / poster accept
None
Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes
[
Slides]
[
OpenReview]
Virtual presentation / poster accept
None
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models
[
OpenReview]
Virtual presentation / poster accept
None
Accelerated Single-Call Methods for Constrained Min-Max Optimization
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Understanding new tasks through the lens of training data via exponential tilting
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
The Surprising Computational Power of Nondeterministic Stack RNNs
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Causal Estimation for Text Data with (Apparent) Overlap Violations
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
[
OpenReview]
Virtual presentation / top 25% paper
None
SketchKnitter: Vectorized Sketch Generation with Diffusion Models
[
Slides]
[
OpenReview]
Virtual presentation / poster accept
None
BrainBERT: Self-supervised representation learning for intracranial recordings
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
FairGBM: Gradient Boosting with Fairness Constraints
[
Slides]
[
OpenReview]
Virtual presentation / poster accept
None
The Dark Side of AutoML: Towards Architectural Backdoor Search
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
[
OpenReview]
Virtual presentation / poster accept
None
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
[
OpenReview]
Virtual presentation / poster accept
None
AGRO: Adversarial discovery of error-prone Groups for Robust Optimization
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
[
OpenReview]
Virtual presentation / poster accept
None
Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Few-Shot Domain Adaptation For End-to-End Communication
[
Slides]
[
OpenReview]
Virtual presentation / poster accept
None
PGrad: Learning Principal Gradients For Domain Generalization
[
OpenReview]
Virtual presentation / poster accept
None
Representational Dissimilarity Metric Spaces for Stochastic Neural Networks
[
OpenReview]
Virtual presentation / poster accept
None
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections
[
OpenReview]
Virtual presentation / top 25% paper
None
Neural Design for Genetic Perturbation Experiments
[
Poster]
[
OpenReview]
Virtual presentation / top 5% paper
None
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
[
OpenReview]
Virtual presentation / top 25% paper
None
Differentially Private $L_2$-Heavy Hitters in the Sliding Window Model
[
OpenReview]
Virtual presentation / poster accept
None
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
[
OpenReview]
Virtual presentation / top 5% paper
None
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Disentangling the Mechanisms Behind Implicit Regularization in SGD
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Noise Injection Node Regularization for Robust Learning
[
OpenReview]
Virtual presentation / poster accept
None
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
[
OpenReview]
Virtual presentation / poster accept
None
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Representation Learning for Low-rank General-sum Markov Games
[
OpenReview]
Virtual presentation / top 25% paper
None
Vision Transformer Adapter for Dense Predictions
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Learning Simultaneous Navigation and Construction in Grid Worlds
[
OpenReview]
Virtual presentation / poster accept
None
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment
[
Slides]
[
OpenReview]
Virtual presentation / top 25% paper
None
Learning Sparse Group Models Through Boolean Relaxation
[
Slides]
[
OpenReview]
Virtual presentation / top 25% paper
None
Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
TEMPERA: Test-Time Prompt Editing via Reinforcement Learning
[
OpenReview]
Virtual presentation / poster accept
None
How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections
[
OpenReview]
Virtual presentation / poster accept
None
Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Suppressing the Heterogeneity: A Strong Feature Extractor for Few-shot Segmentation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
[
OpenReview]
Virtual presentation / top 25% paper
None
IS SYNTHETIC DATA FROM GENERATIVE MODELS READY FOR IMAGE RECOGNITION?
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks
[
OpenReview]
Virtual presentation / poster accept
None
Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Neural DAG Scheduling via One-Shot Priority Sampling
[
OpenReview]
Virtual presentation / poster accept
None
Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Provably Auditing Ordinary Least Squares in Low Dimensions
[
OpenReview]
Virtual presentation / top 25% paper
None
EVA3D: Compositional 3D Human Generation from 2D Image Collections
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
[
OpenReview]
Virtual presentation / poster accept
None
Volumetric Optimal Transportation by Fast Fourier Transform
[
OpenReview]
Virtual presentation / poster accept
None
Extracting Robust Models with Uncertain Examples
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Alternating Differentiation for Optimization Layers
[
OpenReview]
Virtual presentation / poster accept
None
On Pre-training Language Model for Antibody
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Revisiting the Entropy Semiring for Neural Speech Recognition
[
OpenReview]
Virtual presentation / poster accept
None
Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency
[
OpenReview]
Virtual presentation / poster accept
None
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions
[
Slides]
[
OpenReview]
Virtual presentation / top 25% paper
None
Guarded Policy Optimization with Imperfect Online Demonstrations
[
OpenReview]
Virtual presentation / poster accept
None
Conditional Positional Encodings for Vision Transformers
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
[
OpenReview]
Virtual presentation / poster accept
None
Multimodal Analogical Reasoning over Knowledge Graphs
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Mind's Eye: Grounded Language Model Reasoning through Simulation
[
OpenReview]
Virtual presentation / poster accept
None
Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation
[
OpenReview]
Virtual presentation / top 25% paper
None
Visual Recognition with Deep Nearest Centroids
[
OpenReview]
Virtual presentation / poster accept
None
Statistical Inference for Fisher Market Equilibrium
[
OpenReview]
Virtual presentation / poster accept
None
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning
[
OpenReview]
Virtual presentation / poster accept
None
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
[
OpenReview]
Virtual presentation / top 5% paper
None
Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms
[
OpenReview]
Virtual presentation / poster accept
None
Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Fundamental Limits in Formal Verification of Message-Passing Neural Networks
[
OpenReview]
Virtual presentation / poster accept
None
Improving the imputation of missing data with Markov Blanket discovery
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Semi-supervised Community Detection via Structural Similarity Metrics
[
OpenReview]
Virtual presentation / poster accept
None
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Breaking Correlation Shift via Conditional Invariant Regularizer
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Pseudo-label Training and Model Inertia in Neural Machine Translation
[
OpenReview]
Virtual presentation / poster accept
None
Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models
[
OpenReview]
Virtual presentation / poster accept
None
CFlowNets: Continuous Control with Generative Flow Networks
[
OpenReview]
Virtual presentation / poster accept
None
Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization
[
OpenReview]
Virtual presentation / top 25% paper
None
Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network Nonlinearity
[
OpenReview]
Virtual presentation / poster accept
None
S-NeRF: Neural Radiance Fields for Street Views
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
PAC Reinforcement Learning for Predictive State Representations
[
OpenReview]
Virtual presentation / poster accept
None
The Power of Regularization in Solving Extensive-Form Games
[
OpenReview]
Virtual presentation / poster accept
None
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Improving Out-of-distribution Generalization with Indirection Representations
[
OpenReview]
Virtual presentation / poster accept
None
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Are More Layers Beneficial to Graph Transformers?
[
OpenReview]
Virtual presentation / poster accept
None
Making Better Decision by Directly Planning in Continuous Control
[
OpenReview]
Virtual presentation / poster accept
None
Transformer-Patcher: One Mistake Worth One Neuron
[
OpenReview]
Virtual presentation / poster accept
None
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
[
OpenReview]
Virtual presentation / poster accept
None
Phase transition for detecting a small community in a large network
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Improving Object-centric Learning with Query Optimization
[
OpenReview]
Virtual presentation / poster accept
None
BALTO: fast tensor program optimization with diversity-based active learning
[
OpenReview]
Virtual presentation / poster accept
None
Pseudoinverse-Guided Diffusion Models for Inverse Problems
[
OpenReview]
Virtual presentation / top 5% paper
None
Personalized Federated Learning with Feature Alignment and Classifier Collaboration
[
OpenReview]
Virtual presentation / top 25% paper
None
HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer
[
OpenReview]
Virtual presentation / poster accept
None
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
[
OpenReview]
Virtual presentation / poster accept
None
Spatio-temporal point processes with deep non-stationary kernels
[
OpenReview]
Virtual presentation / poster accept
None
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
[
OpenReview]
Virtual presentation / poster accept
None
$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games
[
OpenReview]
Virtual presentation / poster accept
None
Towards the Generalization of Contrastive Self-Supervised Learning
[
OpenReview]
Virtual presentation / top 25% paper
None
Learning rigid dynamics with face interaction graph networks
[
OpenReview]
Virtual presentation / top 25% paper
None
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
[
OpenReview]
Virtual presentation / poster accept
None
Time to augment self-supervised visual representation learning
[
OpenReview]
Virtual presentation / poster accept
None
Learning Object-Language Alignments for Open-Vocabulary Object Detection
[
OpenReview]
Virtual presentation / top 25% paper
None
Neuro-Symbolic Procedural Planning with Commonsense Prompting
[
OpenReview]
Virtual presentation / poster accept
None
Meta Knowledge Condensation for Federated Learning
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Denoising Diffusion Error Correction Codes
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Distributional Meta-Gradient Reinforcement Learning
[
OpenReview]
Virtual presentation / poster accept
None
Approximate Bayesian Inference with Stein Functional Variational Gradient Descent
[
OpenReview]
Virtual presentation / poster accept
None
Deep Variational Implicit Processes
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
SIMPLE: A Gradient Estimator for k-Subset Sampling
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
LiftedCL: Lifting Contrastive Learning for Human-Centric Perception
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations
[
OpenReview]
Virtual presentation / poster accept
None
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
EV-GAN: Simulation of extreme events with ReLU neural networks
[
JMLR]
Virtual presentation / poster accept
None
Deep Ranking Ensembles for Hyperparameter Optimization
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Fair Attribute Completion on Graph with Missing Attributes
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions
[
OpenReview]
Virtual presentation / poster accept
None
OPTQ: Accurate Quantization for Generative Pre-trained Transformers
[
OpenReview]
Virtual presentation / poster accept
None
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games
[
OpenReview]
Virtual presentation / poster accept
None
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models
[
OpenReview]
Virtual presentation / poster accept
None
The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
[
OpenReview]
Virtual presentation / poster accept
None
Understanding Why Generalized Reweighting Does Not Improve Over ERM
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Gray-Box Gaussian Processes for Automated Reinforcement Learning
[
OpenReview]
Virtual presentation / poster accept
None
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
[
OpenReview]
Virtual presentation / poster accept
None
Discovering Informative and Robust Positives for Video Domain Adaptation
[
OpenReview]
Virtual presentation / poster accept
None
Semi-supervised learning with a principled likelihood from a generative model of data curation
[
OpenReview]
Virtual presentation / poster accept
None
Generate rather than Retrieve: Large Language Models are Strong Context Generators
[
OpenReview]
Virtual presentation / top 5% paper
None
Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
On Representing Linear Programs by Graph Neural Networks
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Improving Deep Policy Gradients with Value Function Search
[
OpenReview]
Virtual presentation / poster accept
None
StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
[
OpenReview]
Virtual presentation / poster accept
None
Planning with Large Language Models for Code Generation
[
OpenReview]
Virtual presentation / poster accept
None
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
[
OpenReview]
Virtual presentation / poster accept
None
How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study
[
OpenReview]
Virtual presentation / poster accept
None
Feature selection and low test error in shallow low-rotation ReLU networks
[
OpenReview]
Virtual presentation / poster accept
None
Behavior Proximal Policy Optimization
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Characteristic Neural Ordinary Differential Equation
[
OpenReview]
Virtual presentation / poster accept
None
Learning to Generate Columns with Application to Vertex Coloring
[
OpenReview]
Virtual presentation / top 25% paper
None
Can We Find Nash Equilibria at a Linear Rate in Markov Games?
[
OpenReview]
Virtual presentation / poster accept
None
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems
[
Slides]
[
OpenReview]
Virtual presentation / top 5% paper
None
MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting
[
OpenReview]
Virtual presentation / poster accept
None
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Accurate Image Restoration with Attention Retractable Transformer
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning
[
OpenReview]
Virtual presentation / top 25% paper
None
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes
[
OpenReview]
Virtual presentation / poster accept
None
Continual Transformers: Redundancy-Free Attention for Online Inference
[
OpenReview]
Virtual presentation / poster accept
None
SP2 : A Second Order Stochastic Polyak Method
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Graph Domain Adaptation via Theory-Grounded Spectral Regularization
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
[
OpenReview]
Virtual presentation / poster accept
None
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
[
OpenReview]
Virtual presentation / poster accept
None
Test-Time Robust Personalization for Federated Learning
[
OpenReview]
Virtual presentation / poster accept
None
Towards Addressing Label Skews in One-Shot Federated Learning
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
[
OpenReview]
Virtual presentation / poster accept
None
Scenario-based Question Answering with Interacting Contextual Properties
[
OpenReview]
Virtual presentation / poster accept
None
EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks
[
OpenReview]
Virtual presentation / poster accept
None
SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting
[
OpenReview]
Virtual presentation / poster accept
None
HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization
[
OpenReview]
Virtual presentation / poster accept
None
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
[
OpenReview]
Virtual presentation / poster accept
None
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games
[
OpenReview]
Virtual presentation / poster accept
None
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts
[
OpenReview]
Virtual presentation / poster accept
None
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
GReTo: Remedying dynamic graph topology-task discordance via target homophily
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Learning Fair Graph Representations via Automated Data Augmentations
[
OpenReview]
Virtual presentation / poster accept
None
Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
[
OpenReview]
Virtual presentation / poster accept
None
Learning Hierarchical Protein Representations via Complete 3D Graph Networks
[
OpenReview]
Virtual presentation / poster accept
None
Learning Vortex Dynamics for Fluid Inference and Prediction
[
OpenReview]
Virtual presentation / poster accept
None
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Learning Hyper Label Model for Programmatic Weak Supervision
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation
[
Slides]
[
OpenReview]
Virtual presentation / poster accept
None
Coverage-centric Coreset Selection for High Pruning Rates
[
OpenReview]
Virtual presentation / poster accept
None
Distributed Differential Privacy in Multi-Armed Bandits
[
Slides]
[
OpenReview]
Virtual presentation / poster accept
None
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing
[
OpenReview]
Virtual presentation / poster accept
None
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
[
OpenReview]
Virtual presentation / poster accept
None
Filter-Recovery Network for Multi-Speaker Audio-Visual Speech Separation
[
OpenReview]
Virtual presentation / poster accept
None
Decompose to Generalize: Species-Generalized Animal Pose Estimation
[
OpenReview]
Virtual presentation / top 5% paper
None
Scaling Up Probabilistic Circuits by Latent Variable Distillation
[
OpenReview]
Virtual presentation / poster accept
None
What shapes the loss landscape of self supervised learning?
[
OpenReview]
Virtual presentation / poster accept
None
Efficient approximation of neural population structure and correlations with probabilistic circuits
[
OpenReview]
Virtual presentation / poster accept
None
TypeT5: Seq2seq Type Inference using Static Analysis
[
OpenReview]
Virtual presentation / poster accept
None
Stay Moral and Explore: Learn to Behave Morally in Text-based Games
[
OpenReview]
Virtual presentation / poster accept
None
Improving Differentiable Neural Architecture Search by Encouraging Transferability
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
TextShield: Beyond Successfully Detecting Adversarial Sentences in text classification
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Transformer Meets Boundary Value Inverse Problems
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Dataless Knowledge Fusion by Merging Weights of Language Models
[
OpenReview]
Virtual presentation / poster accept
None
Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN?
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Continual evaluation for lifelong learning: Identifying the stability gap
[
OpenReview]
Virtual presentation / top 25% paper
None
Multi-domain image generation and translation with identifiability guarantees
[
OpenReview]
Virtual presentation / poster accept
None
DySR: Adaptive Super-Resolution via Algorithm and System Co-design
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Can Neural Networks Learn Implicit Logic from Physical Reasoning?
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
ManyDG: Many-domain Generalization for Healthcare Applications
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Contrastive Corpus Attribution for Explaining Representations
[
OpenReview]
Virtual presentation / poster accept
None
Parallel Deep Neural Networks Have Zero Duality Gap
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Generalization and Estimation Error Bounds for Model-based Neural Networks
[
OpenReview]
Virtual presentation / poster accept
None
On Representing Mixed-Integer Linear Programs by Graph Neural Networks
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Exploring Temporally Dynamic Data Augmentation for Video Recognition
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Understanding Train-Validation Split in Meta-Learning with Neural Networks
[
Slides]
[
OpenReview]
Virtual presentation / poster accept
None
Memorization-Dilation: Modeling Neural Collapse Under Noise
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Human MotionFormer: Transferring Human Motions with Vision Transformers
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
A Learning Based Hypothesis Test for Harmful Covariate Shift
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Promptagator: Few-shot Dense Retrieval From 8 Examples
[
OpenReview]
Virtual presentation / poster accept
None
ImaginaryNet: Learning Object Detectors without Real Images and Annotations
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
[
OpenReview]
Virtual presentation / poster accept
None
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Evaluating Long-Term Memory in 3D Mazes
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
[
OpenReview]
Virtual presentation / poster accept
None
Human alignment of neural network representations
[
OpenReview]
Virtual presentation / poster accept
None
Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Information-Theoretic Diffusion
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Efficiently Controlling Multiple Risks with Pareto Testing
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
DiffMimic: Efficient Motion Mimicking with Differentiable Physics
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Causality Compensated Attention for Contextual Biased Visual Recognition
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation
[
OpenReview]
Virtual presentation / poster accept
None
Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
[
Poster]
[
OpenReview]
Virtual presentation / top 5% paper
None
Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search
[
OpenReview]
Virtual presentation / poster accept
None
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Revisiting adapters with adversarial training
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Learning Proximal Operators to Discover Multiple Optima
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
gDDIM: Generalized denoising diffusion implicit models
[
OpenReview]
Virtual presentation / poster accept
None
Fast Sampling of Diffusion Models with Exponential Integrator
[
OpenReview]
Virtual presentation / poster accept
None
Learning to Decompose Visual Features with Latent Textual Prompts
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Interactive Portrait Harmonization
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
AIM: Adapting Image Models for Efficient Video Action Recognition
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Dilated convolution with learnable spacings
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Formal Mathematics Statement Curriculum Learning
[
OpenReview]
Virtual presentation / poster accept
None
Subsampling in Large Graphs Using Ricci Curvature
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK
[
OpenReview]
Virtual presentation / poster accept
None
Progressively Compressed Auto-Encoder for Self-supervised Representation Learning
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Sampling with Mollified Interaction Energy Descent
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations
[
OpenReview]
Virtual presentation / poster accept
None
Out-of-distribution Representation Learning for Time Series Classification
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Distributionally Robust Recourse Action
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Bidirectional Propagation for Cross-Modal 3D Object Detection
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms
[
OpenReview]
Virtual presentation / poster accept
None
Learning to Segment from Noisy Annotations: A Spatial Correction Approach
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
DynaMS: Dyanmic Margin Selection for Efficient Deep Learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Globally Optimal Training of Neural Networks with Threshold Activation Functions
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention
[
OpenReview]
Virtual presentation / poster accept
None
Learning Rationalizable Equilibria in Multiplayer Games
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Deep Ensembles for Graphs with Higher-order Dependencies
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Agnostic Learning of General ReLU Activation Using Gradient Descent
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Latent Variable Representation for Reinforcement Learning
[
OpenReview]
Virtual presentation / top 25% paper
None
Learning Probabilistic Topological Representations Using Discrete Morse Theory
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Spectral Decomposition Representation for Reinforcement Learning
[
OpenReview]
Virtual presentation / poster accept
None
Masked Unsupervised Self-training for Label-free Image Classification
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Solving Continuous Control via Q-learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Mutual Partial Label Learning with Competitive Label Noise
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Masked Image Modeling with Denoising Contrast
[
OpenReview]
Virtual presentation / top 25% paper
None
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Exploring Active 3D Object Detection from a Generalization Perspective
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
A View From Somewhere: Human-Centric Face Representations
[
Poster]
[
OpenReview]
Virtual presentation / top 5% paper
None
PaLI: A Jointly-Scaled Multilingual Language-Image Model
[
OpenReview]
Virtual presentation / poster accept
None
Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Re-parameterizing Your Optimizers rather than Architectures
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
[
OpenReview]
Virtual presentation / poster accept
None
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
[
OpenReview]
Virtual presentation / top 25% paper
None
MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC
[
OpenReview]
Virtual presentation / poster accept
None
Building Normalizing Flows with Stochastic Interpolants
[
OpenReview]
Virtual presentation / poster accept
None
Advancing Radiograph Representation Learning with Masked Record Modeling
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Composing Task Knowledge With Modular Successor Feature Approximators
[
OpenReview]
Virtual presentation / poster accept
None
LogicDP: Creating Labels for Graph Data via Inductive Logic Programming
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Bag of Tricks for Unsupervised Text-to-Speech
[
OpenReview]
Virtual presentation / poster accept
None
Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Provable Robustness against Wasserstein Distribution Shifts via Input Randomization
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
[
OpenReview]
Virtual presentation / poster accept
None
On the Performance of Temporal Difference Learning With Neural Networks
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
On the complexity of nonsmooth automatic differentiation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Generalize Learned Heuristics to Solve Large-scale Vehicle Routing Problems in Real-time
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Transfer Learning with Deep Tabular Models
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Differentially Private Adaptive Optimization with Delayed Preconditioners
[
OpenReview]
Virtual presentation / poster accept
None
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
[
OpenReview]
Virtual presentation / poster accept
None
Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Monocular Scene Reconstruction with 3D SDF Transformers
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
DENSE RGB SLAM WITH NEURAL IMPLICIT MAPS
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Provably Efficient Lifelong Reinforcement Learning with Linear Representation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient
[
OpenReview]
Virtual presentation / poster accept
None
Learnable Graph Convolutional Attention Networks
[
OpenReview]
Virtual presentation / poster accept
None
On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Unbiased Supervised Contrastive Learning
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Approximate Nearest Neighbor Search through Modern Error-Correcting Codes
[
OpenReview]
Virtual presentation / poster accept
None
Effective Self-supervised Pre-training on Low-compute Networks without Distillation
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Toeplitz Neural Network for Sequence Modeling
[
OpenReview]
Virtual presentation / poster accept
None
Improved Convergence of Differential Private SGD with Gradient Clipping
[
OpenReview]
Virtual presentation / top 25% paper
None
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
PatchDCT: Patch Refinement for High Quality Instance Segmentation
[
OpenReview]
Virtual presentation / top 25% paper
None
Symmetric Pruning in Quantum Neural Networks
[
OpenReview]
Virtual presentation / poster accept
None
SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range Interactions
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Systematic Rectification of Language Models via Dead-end Analysis
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
[
OpenReview]
Virtual presentation / top 5% paper
None
Tailoring Language Generation Models under Total Variation Distance
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Behavior Prior Representation learning for Offline Reinforcement Learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Asynchronous Gradient Play in Zero-Sum Multi-agent Games
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Learning Structured Representations by Embedding Class Hierarchy
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Stochastic Multi-Person 3D Motion Forecasting
[
OpenReview]
Virtual presentation / poster accept
None
Distributionally Robust Post-hoc Classifiers under Prior Shifts
[
Slides]
[
OpenReview]
Virtual presentation / poster accept
None
FedDAR: Federated Domain-Aware Representation Learning
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
[
OpenReview]
Virtual presentation / poster accept
None
Variational Latent Branching Model for Off-Policy Evaluation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
[
Slides]
[
OpenReview]
Virtual presentation / poster accept
None
Transformer-based model for symbolic regression via joint supervised learning
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning
[
OpenReview]
Virtual presentation / top 25% paper
None
Retrieval-based Controllable Molecule Generation
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients
[
OpenReview]
Virtual presentation / poster accept
None
Decision S4: Efficient Sequence-Based RL via State Spaces Layers
[
Poster]
[
OpenReview]
Virtual presentation / top 25% paper
None
Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study
[
OpenReview]
Virtual presentation / poster accept
None
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
[
OpenReview]
Virtual presentation / poster accept
None
Molecule Generation For Target Protein Binding with Structural Motifs
[
OpenReview]
Virtual presentation / poster accept
None
MCAL: Minimum Cost Human-Machine Active Labeling
[
OpenReview]
Virtual presentation / poster accept
None
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations
[
OpenReview]
Virtual presentation / poster accept
None
Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions
[
OpenReview]
Virtual presentation / top 25% paper
None
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning
[
OpenReview]
Virtual presentation / poster accept
None
Achieve the Minimum Width of Neural Networks for Universal Approximation
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
[
OpenReview]
Virtual presentation / poster accept
None
On amortizing convex conjugates for optimal transport
[
OpenReview]
Virtual presentation / poster accept
None
DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
None
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
[
Poster]
[
OpenReview]
Virtual Poster presentation / poster accept
None
AudioGen: Textually Guided Audio Generation
[
OpenReview]
Virtual Poster presentation / poster accept
None
Parameter-Efficient Fine-Tuning Design Spaces
[
OpenReview]
Virtual Poster presentation / poster accept
None
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
[
Poster]
[
OpenReview]
Virtual Poster presentation / poster accept
None
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images
[
OpenReview]
Virtual Poster presentation / poster accept
None
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
[
Slides]
[
Poster]
[
OpenReview]
Virtual Poster presentation / top 5% paper
None
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
[
OpenReview]
Virtual Poster presentation / poster accept
None
ISAAC Newton: Input-based Approximate Curvature for Newton's Method
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
None
Sparse Mixture-of-Experts are Domain Generalizable Learners
[
OpenReview]
Virtual Poster presentation / poster accept
None
Sparse Random Networks for Communication-Efficient Federated Learning
[
OpenReview]
Virtual Poster presentation / top 5% paper
None
When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It?
[
OpenReview]
Virtual Poster presentation / poster accept
None
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
[
OpenReview]
Virtual Poster presentation / poster accept
None
MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises
[
Poster]
[
OpenReview]
Virtual Poster presentation / poster accept
None
Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms
[
Poster]
[
OpenReview]
Virtual Poster presentation / top 5% paper
None
Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
[
OpenReview]
Virtual Poster presentation / poster accept
None
Unified Discrete Diffusion for Simultaneous Vision-Language Generation
[
Poster]
[
OpenReview]
Virtual Poster presentation / poster accept
None
Dual Diffusion Implicit Bridges for Image-to-Image Translation
[
OpenReview]
In-Person Poster presentation / top 25% paper
None
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
[
Slides]
[
Poster]
[
OpenReview]
Virtual Poster presentation / top 25% paper
None
Deterministic training of generative autoencoders using invertible layers
[
Poster]
[
OpenReview]
Virtual Poster presentation / top 25% paper
None
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
[
OpenReview]
Virtual Poster presentation / top 25% paper
None
Martingale Posterior Neural Processes
[
OpenReview]
Virtual presentation / top 25% paper
None
Real-time variational method for learning neural trajectory and its dynamics
[
OpenReview]
Virtual Poster presentation / poster accept
None
Sparse Distributed Memory is a Continual Learner
[
OpenReview]
Virtual Poster presentation / poster accept
None
Gradient Boosting Performs Gaussian Process Inference
[
OpenReview]
Virtual Poster presentation / poster accept
None
Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics
[
OpenReview]
Virtual Poster presentation / poster accept
None
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
None
Average Sensitivity of Decision Tree Learning
[
Slides]
[
Poster]
[
OpenReview]
Virtual Poster presentation / top 5% paper
None
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
[
OpenReview]
Virtual Poster presentation / top 25% paper
None
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
[
OpenReview]
Registration Desk
Sun Apr 30 10:00 PM -- 10:30 AM (PDT) None
Registration / Check-in
Remarks
Sun Apr 30 11:15 PM -- 11:30 PM (PDT) @ Auditorium None
Opening Remarks
Invited Talk
Sun Apr 30 11:30 PM -- 12:30 AM (PDT) @ Auditorium None
Entanglements, Exploring Artificial Biodiversity
Break
Mon May 01 12:30 AM -- 01:00 AM (PDT) None
Coffee Break
In-Person Oral presentation / top 25% paper
Mon May 01 01:00 AM -- 01:10 AM (PDT) @ AD1 None
A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation
In-Person Oral presentation / top 25% paper
Mon May 01 01:00 AM -- 01:10 AM (PDT) @ AD10 None
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
In-Person Oral presentation / top 25% paper
Mon May 01 01:00 AM -- 01:10 AM (PDT) @ AD11 None
Quantifying Memorization Across Neural Language Models
In-Person Oral presentation / top 25% paper
Mon May 01 01:00 AM -- 01:10 AM (PDT) @ AD4 None
Phase2vec: dynamical systems embedding with a physics-informed convolutional network
In-Person Oral presentation / top 25% paper
Mon May 01 01:00 AM -- 01:10 AM (PDT) @ AD12 None
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
Session
Mon May 01 01:00 AM -- 02:30 AM (PDT) @ AD10 None
Oral 1 Track 6: Deep Learning and representational learning II
Session
Mon May 01 01:00 AM -- 02:30 AM (PDT) @ AD12 None
Oral 1 Track 5: Reinforcement Learning
Session
Mon May 01 01:00 AM -- 02:30 AM (PDT) @ AD1 None
Oral 1 Track 3: Neuroscience and Cognitive Science & General Machine Learning
Session
Mon May 01 01:00 AM -- 02:30 AM (PDT) @ Auditorium None
Oral 1 Track 1: Deep Learning and representational learning I
Session
Mon May 01 01:00 AM -- 02:30 AM (PDT) @ AD4 None
Oral 1 Track 2: Machine Learning for Sciences
Session
Mon May 01 01:00 AM -- 02:30 AM (PDT) @ AD11 None
Oral 1 Track 4: Social Aspects of Machine Learning
In-Person Oral presentation / top 25% paper
Mon May 01 01:10 AM -- 01:20 AM (PDT) @ AD1 None
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
In-Person Oral presentation / top 25% paper
Mon May 01 01:10 AM -- 01:20 AM (PDT) @ AD10 None
Fisher-Legendre (FishLeg) optimization of deep neural networks
In-Person Oral presentation / top 5% paper
Mon May 01 01:10 AM -- 01:20 AM (PDT) @ Auditorium None
Token Merging: Your ViT But Faster
In-Person Oral presentation / top 25% paper
Mon May 01 01:10 AM -- 01:20 AM (PDT) @ AD12 None
The In-Sample Softmax for Offline Reinforcement Learning
In-Person Oral presentation / top 25% paper
Mon May 01 01:10 AM -- 01:20 AM (PDT) @ AD11 None
Human-Guided Fair Classification for Natural Language Processing
In-Person Oral presentation / top 25% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ Auditorium None
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
In-Person Oral presentation / top 25% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ AD1 None
Disentanglement with Biological Constraints: A Theory of Functional Cell Types
In-Person Oral presentation / top 25% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ AD10 None
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
In-Person Oral presentation / top 5% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ AD4 None
Compressing multidimensional weather and climate data into neural networks
In-Person Oral presentation / top 25% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ AD11 None
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
In-Person Oral presentation / top 5% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ AD12 None
Emergence of Maps in the Memories of Blind Navigation Agents
[
Slides]
In-Person Oral presentation / top 25% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ AD1 None
Hebbian Deep Learning Without Feedback
In-Person Oral presentation / top 25% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ Auditorium None
Learning Group Importance using the Differentiable Hypergeometric Distribution
In-Person Oral presentation / top 25% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ AD10 None
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
In-Person Oral presentation / top 25% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ AD4 None
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
In-Person Oral presentation / top 25% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ AD12 None
Does Zero-Shot Reinforcement Learning Exist?
In-Person Oral presentation / top 5% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ AD11 None
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
In-Person Oral presentation / top 25% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ Auditorium None
Neural Networks and the Chomsky Hierarchy
In-Person Oral presentation / top 25% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ AD10 None
NeRN: Learning Neural Representations for Neural Networks
In-Person Oral presentation / top 25% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ AD12 None
Learning Soft Constraints From Constrained Expert Demonstrations
In-Person Oral presentation / top 5% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ AD4 None
Conditional Antibody Design as 3D Equivariant Graph Translation
In-Person Oral presentation / top 25% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ AD11 None
UNICORN: A Unified Backdoor Trigger Inversion Framework
In-Person Oral presentation / top 25% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ AD1 None
Domain Generalization via Heckman-type Selection Models
In-Person Oral presentation / top 5% paper
Mon May 01 01:50 AM -- 02:00 AM (PDT) @ Auditorium None
Learning on Large-scale Text-attributed Graphs via Variational Inference
In-Person Oral presentation / top 25% paper
Mon May 01 01:50 AM -- 02:00 AM (PDT) @ AD10 None
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
In-Person Oral presentation / top 25% paper
Mon May 01 01:50 AM -- 02:00 AM (PDT) @ AD4 None
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
In-Person Oral presentation / top 5% paper
Mon May 01 01:50 AM -- 02:00 AM (PDT) @ AD12 None
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
In-Person Oral presentation / top 25% paper
Mon May 01 01:50 AM -- 02:00 AM (PDT) @ AD11 None
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
In-Person Oral presentation / top 25% paper
Mon May 01 02:00 AM -- 02:10 AM (PDT) @ AD10 None
Continual Unsupervised Disentangling of Self-Organizing Representations
In-Person Oral presentation / top 25% paper
Mon May 01 02:00 AM -- 02:10 AM (PDT) @ AD11 None
Learning to Estimate Shapley Values with Vision Transformers
In-Person Oral presentation / top 25% paper
Mon May 01 02:00 AM -- 02:10 AM (PDT) @ AD12 None
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
In-Person Oral presentation / top 25% paper
Mon May 01 02:00 AM -- 02:10 AM (PDT) @ AD4 None
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
In-Person Oral presentation / top 25% paper
Mon May 01 02:10 AM -- 02:20 AM (PDT) @ AD11 None
Provable Defense Against Geometric Transformations
Break
Mon May 01 02:30 AM -- 04:30 AM (PDT) None
Lunch
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #86
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #75
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #52
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #92
Understanding DDPM Latent Codes Through Optimal Transport
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #41
MaskViT: Masked Visual Pre-Training for Video Prediction
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #60
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #98
How to prepare your task head for finetuning
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #137
GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #38
GLM-130B: An Open Bilingual Pre-trained Model
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #57
An efficient encoder-decoder architecture with top-down attention for speech separation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #37
Characterizing intrinsic compositionality in transformers with Tree Projections
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #56
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #36
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #55
3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #35
Light Sampling Field and BRDF Representation for Physically-based Neural Rendering
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #54
Generating Sequences by Learning to Self-Correct
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #34
Rethinking skip connection model as a learnable Markov chain
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #53
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #33
Masked Vision and Language Modeling for Multi-modal Representation Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #32
Explaining Temporal Graph Models through an Explorer-Navigator Framework
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #51
Trainability Preserving Neural Pruning
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #31
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #50
Neural Networks and the Chomsky Hierarchy
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #30
Mega: Moving Average Equipped Gated Attention
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #49
Fisher-Legendre (FishLeg) optimization of deep neural networks
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #29
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #48
Can discrete information extraction prompts generalize across language models?
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #28
Token Merging: Your ViT But Faster
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #47
How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #27
Broken Neural Scaling Laws
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #46
Softened Symbol Grounding for Neuro-symbolic Systems
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #45
Continuous-time identification of dynamic state-space models by deep subspace encoding
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #25
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #44
A VAE for Transformers with Nonparametric Variational Information Bottleneck
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #24
Cross-Layer Retrospective Retrieving via Layer Attention
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #43
Avoiding spurious correlations via logit correction
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #23
Mitigating Dataset Bias by Using Per-Sample Gradient
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #42
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #22
LPT: Long-tailed Prompt Tuning for Image Classification
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #21
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #40
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #20
Continual Unsupervised Disentangling of Self-Organizing Representations
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #39
Editing models with task arithmetic
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #58
Learning Group Importance using the Differentiable Hypergeometric Distribution
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #77
TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #59
Towards Better Selective Classification
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #78
Structure by Architecture: Structured Representations without Regularization
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #79
Learning on Large-scale Text-attributed Graphs via Variational Inference
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #61
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #72
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #80
NeRN: Learning Neural Representations for Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #62
Learning to Induce Causal Structure
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #81
On the Soft-Subnetwork for Few-Shot Class Incremental Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #63
Learning to reason over visual objects
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #82
QAID: Question Answering Inspired Few-shot Intent Detection
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #64
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #83
Learning topology-preserving data representations
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #65
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
[
Slides]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #84
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #66
Unsupervised Manifold Alignment with Joint Multidimensional Scaling
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #85
Deconstructing Distributions: A Pointwise Framework of Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #67
Neural Agents Struggle to Take Turns in Bidirectional Emergent Communication
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #68
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #87
Diffusion-based Image Translation using disentangled style and content representation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #69
Finding the Global Semantic Representation in GAN through Fréchet Mean
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #116
Domain Generalization via Heckman-type Selection Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #88
Interaction-Based Disentanglement of Entities for Object-Centric World Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #70
Matching receptor to odorant with protein language and graph neural networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #89
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #71
Compressing multidimensional weather and climate data into neural networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #90
Conditional Antibody Design as 3D Equivariant Graph Translation
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #91
Phase2vec: dynamical systems embedding with a physics-informed convolutional network
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #73
Protein Sequence and Structure Co-Design with Equivariant Translation
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #74
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #93
Interpretable Geometric Deep Learning via Learnable Randomness Injection
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #94
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #76
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #95
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #114
A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #133
How gradient estimator variance and bias impact learning in neural networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #132
Hebbian Deep Learning Without Feedback
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #112
Disentanglement with Biological Constraints: A Theory of Functional Cell Types
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #131
Multi-objective optimization via equivariant deep hypervolume approximation
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #111
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #130
Why (and When) does Local SGD Generalize Better than SGD?
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #110
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #129
Denoising Diffusion Samplers
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #109
Weighted Clock Logic Point Process
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #128
Causal Balancing for Domain Generalization
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #108
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #127
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #107
A Control-Centric Benchmark for Video Prediction
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #126
Preference Transformer: Modeling Human Preferences using Transformers for RL
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #106
Emergence of Maps in the Memories of Blind Navigation Agents
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #125
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #105
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #124
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #104
Learning Soft Constraints From Constrained Expert Demonstrations
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #103
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #122
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #102
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #121
The In-Sample Softmax for Offline Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #101
Does Zero-Shot Reinforcement Learning Exist?
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #120
Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #100
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #119
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #99
Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #118
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #117
Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #113
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #96
Quantifying Memorization Across Neural Language Models
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #115
Fooling SHAP with Stealthily Biased Sampling
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #134
Valid P-Value for Deep Learning-driven Salient Region
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #153
UNICORN: A Unified Backdoor Trigger Inversion Framework
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #135
Human-Guided Fair Classification for Natural Language Processing
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #154
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #136
Sound Randomized Smoothing in Floating-Point Arithmetic
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #155
Provable Defense Against Geometric Transformations
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #156
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #138
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #157
Equal Improvability: A New Fairness Notion Considering the Long-term Impact
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #139
On the Perils of Cascading Robust Classifiers
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #158
Learning to Estimate Shapley Values with Vision Transformers
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #159
Neural-based classification rule learning for sequential data
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #141
Machine Unlearning of Federated Clusters
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #160
Multimodal Federated Learning via Contrastive Representation Ensemble
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #142
A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #161
On The Relative Error of Random Fourier Features for Preserving Kernel Distance
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #143
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #162
Contextual bandits with concave rewards, and an application to fair ranking
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #144
Why adversarial training can hurt robust accuracy
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #163
Continuous pseudo-labeling from the start
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #145
Neural Groundplans: Persistent Neural Scene Representations from a Single Image
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #164
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification
[
Slides]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #165
Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #147
Identifiability Results for Multimodal Contrastive Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #166
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #148
Guiding Safe Exploration with Weakest Preconditions
[
OpenReview]
Session
Mon May 01 02:30 AM -- 04:30 AM (PDT) @ MH1+2+3+4 None
Poster Session 1
Invited Talk
Mon May 01 04:30 AM -- 05:30 AM (PDT) @ Auditorium None
Understanding Systematic Deviations in Data for Trustworthy AI
Break
Mon May 01 05:30 AM -- 06:00 AM (PDT) None
Coffee Break
In-Person Oral presentation / top 5% paper
Mon May 01 06:00 AM -- 06:10 AM (PDT) @ AD1 None
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
In-Person Oral presentation / top 25% paper
Mon May 01 06:00 AM -- 06:10 AM (PDT) @ AD12 None
Diffusion Posterior Sampling for General Noisy Inverse Problems
In-Person Oral presentation / top 25% paper
Mon May 01 06:00 AM -- 06:10 AM (PDT) @ AD4 None
Neural Optimal Transport
In-Person Oral presentation / top 25% paper
Mon May 01 06:00 AM -- 06:10 AM (PDT) @ AD11 None
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
In-Person Oral presentation / top 25% paper
Mon May 01 06:00 AM -- 06:10 AM (PDT) @ Auditorium None
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
In-Person Oral presentation / top 25% paper
Mon May 01 06:00 AM -- 06:10 AM (PDT) @ AD10 None
Multi-skill Mobile Manipulation for Object Rearrangement
Session
Mon May 01 06:00 AM -- 07:30 AM (PDT) @ AD12 None
Oral 2 Track 3: Generative models
Session
Mon May 01 06:00 AM -- 07:30 AM (PDT) @ AD11 None
Oral 2 Track 1: Applications
Session
Mon May 01 06:00 AM -- 07:30 AM (PDT) @ AD10 None
Oral 2 Track 4: Reinforcement Learning
Session
Mon May 01 06:00 AM -- 07:30 AM (PDT) @ AD4 None
Oral 2 Track 5: Generative models & Theory
Session
Mon May 01 06:00 AM -- 07:30 AM (PDT) @ AD1 None
Oral 2 Track 6: Applications & Social Aspects of Machine Learning
Session
Mon May 01 06:00 AM -- 07:30 AM (PDT) @ Auditorium None
Oral 2 Track 2: General Machine Learning
In-Person Oral presentation / top 25% paper
Mon May 01 06:10 AM -- 06:20 AM (PDT) @ AD4 None
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions
In-Person Oral presentation / top 25% paper
Mon May 01 06:10 AM -- 06:20 AM (PDT) @ AD12 None
Prompt-to-Prompt Image Editing with Cross-Attention Control
In-Person Oral presentation / top 25% paper
Mon May 01 06:10 AM -- 06:20 AM (PDT) @ AD1 None
Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
[
Slides]
In-Person Oral presentation / top 25% paper
Mon May 01 06:10 AM -- 06:20 AM (PDT) @ AD10 None
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
In-Person Oral presentation / top 25% paper
Mon May 01 06:10 AM -- 06:20 AM (PDT) @ Auditorium None
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
[
Slides]
In-Person Oral presentation / top 25% paper
Mon May 01 06:20 AM -- 06:30 AM (PDT) @ AD4 None
Effects of Graph Convolutions in Multi-layer Networks
[
Slides]
In-Person Oral presentation / top 25% paper
Mon May 01 06:20 AM -- 06:30 AM (PDT) @ AD12 None
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting
In-Person Oral presentation / top 25% paper
Mon May 01 06:20 AM -- 06:30 AM (PDT) @ AD1 None
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
In-Person Oral presentation / top 25% paper
Mon May 01 06:20 AM -- 06:30 AM (PDT) @ AD11 None
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
In-Person Oral presentation / top 25% paper
Mon May 01 06:20 AM -- 06:30 AM (PDT) @ AD10 None
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
[
Slides]
In-Person Oral presentation / top 5% paper
Mon May 01 06:20 AM -- 06:30 AM (PDT) @ Auditorium None
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
In-Person Oral presentation / top 25% paper
Mon May 01 06:30 AM -- 06:40 AM (PDT) @ AD11 None
Human Motion Diffusion Model
In-Person Oral presentation / top 25% paper
Mon May 01 06:30 AM -- 06:40 AM (PDT) @ AD1 None
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
In-Person Oral presentation / top 25% paper
Mon May 01 06:30 AM -- 06:40 AM (PDT) @ AD12 None
Diffusion Models Already Have A Semantic Latent Space
In-Person Oral presentation / top 5% paper
Mon May 01 06:30 AM -- 06:40 AM (PDT) @ AD10 None
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
In-Person Oral presentation / top 5% paper
Mon May 01 06:40 AM -- 06:50 AM (PDT) @ AD4 None
Modeling content creator incentives on algorithm-curated platforms
In-Person Oral presentation / top 25% paper
Mon May 01 06:40 AM -- 06:50 AM (PDT) @ AD1 None
Ask Me Anything: A simple strategy for prompting language models
[
Slides]
In-Person Oral presentation / top 25% paper
Mon May 01 06:40 AM -- 06:50 AM (PDT) @ AD11 None
NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning
In-Person Oral presentation / top 5% paper
Mon May 01 06:40 AM -- 06:50 AM (PDT) @ AD12 None
DreamFusion: Text-to-3D using 2D Diffusion
In-Person Oral presentation / top 25% paper
Mon May 01 06:40 AM -- 06:50 AM (PDT) @ Auditorium None
LAVA: Data Valuation without Pre-Specified Learning Algorithms
In-Person Oral presentation / top 25% paper
Mon May 01 06:40 AM -- 06:50 AM (PDT) @ AD10 None
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
In-Person Oral presentation / top 5% paper
Mon May 01 06:50 AM -- 07:00 AM (PDT) @ AD12 None
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
In-Person Oral presentation / top 25% paper
Mon May 01 06:50 AM -- 07:00 AM (PDT) @ AD1 None
Code Translation with Compiler Representations
In-Person Oral presentation / top 25% paper
Mon May 01 06:50 AM -- 07:00 AM (PDT) @ AD11 None
UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks
In-Person Oral presentation / top 5% paper
Mon May 01 06:50 AM -- 07:00 AM (PDT) @ AD10 None
Near-optimal Policy Identification in Active Reinforcement Learning
In-Person Oral presentation / top 25% paper
Mon May 01 06:50 AM -- 07:00 AM (PDT) @ AD4 None
Optimal Transport for Offline Imitation Learning
In-Person Oral presentation / top 25% paper
Mon May 01 07:00 AM -- 07:10 AM (PDT) @ AD1 None
Hidden Markov Transformer for Simultaneous Machine Translation
In-Person Oral presentation / top 25% paper
Mon May 01 07:00 AM -- 07:10 AM (PDT) @ AD10 None
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
In-Person Oral presentation / top 25% paper
Mon May 01 07:00 AM -- 07:10 AM (PDT) @ AD11 None
Mass-Editing Memory in a Transformer
In-Person Oral presentation / top 25% paper
Mon May 01 07:00 AM -- 07:10 AM (PDT) @ Auditorium None
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering
[
Slides]
In-Person Oral presentation / top 5% paper
Mon May 01 07:10 AM -- 07:20 AM (PDT) @ AD1 None
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
In-Person Oral presentation / top 25% paper
Mon May 01 07:10 AM -- 07:20 AM (PDT) @ AD11 None
On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation
In-Person Oral presentation / top 5% paper
Mon May 01 07:10 AM -- 07:20 AM (PDT) @ Auditorium None
Learning where and when to reason in neuro-symbolic inference
In-Person Oral presentation / top 25% paper
Mon May 01 07:10 AM -- 07:20 AM (PDT) @ AD10 None
Learning About Progress From Experts
Virtual presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #100
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #70
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #54
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
[
Slides]
[
Poster]
[
OpenReview]
Virtual presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #127
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #135
Selective Frequency Network for Image Restoration
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #38
Complexity-Based Prompting for Multi-step Reasoning
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #57
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #37
Ask Me Anything: A simple strategy for prompting language models
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #56
Human Motion Diffusion Model
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #55
NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #35
On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #34
Temporal Coherent Test Time Optimization for Robust Video Classification
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #53
UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #33
Mass-Editing Memory in a Transformer
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #52
Robust Scheduling with GFlowNets
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #32
TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #51
In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #31
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #50
Open-Vocabulary Object Detection upon Frozen Vision and Language Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #30
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #49
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #29
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #48
Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #28
Iterative Circuit Repair Against Formal Specifications
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #47
Hidden Markov Transformer for Simultaneous Machine Translation
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #27
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #46
DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #26
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #45
Code Translation with Compiler Representations
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #25
Iterative Patch Selection for High-Resolution Image Recognition
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #44
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #24
Learning Iterative Neural Optimizers for Image Steganography
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #43
Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #23
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #42
FIGARO: Controllable Music Generation using Learned and Expert Features
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #22
General Neural Gauge Fields
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #41
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #21
Grounding Graph Network Simulators using Physical Sensor Observations
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #40
$\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #20
Spatial Attention Kinetic Networks with E(n)-Equivariance
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #39
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #58
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #77
Bit-Pruning: A Sparse Multiplication-Less Dot-Product
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #78
Over-Training with Mixup May Hurt Generalization
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #60
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #79
Can CNNs Be More Robust Than Transformers?
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #61
Scaffolding a Student to Instill Knowledge
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #80
Constraining Representations Yields Models That Know What They Don't Know
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #62
TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #81
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #63
Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #82
Decoupled Training for Long-Tailed Classification With Stochastic Representations
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #64
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #83
Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #65
Gradient Gating for Deep Multi-Rate Learning on Graphs
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #67
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #86
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #87
PASHA: Efficient HPO and NAS with Progressive Resource Allocation
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #69
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #88
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #89
Learning where and when to reason in neuro-symbolic inference
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #71
LAVA: Data Valuation without Pre-Specified Learning Algorithms
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #72
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #91
Neural Optimal Transport
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #73
DreamFusion: Text-to-3D using 2D Diffusion
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #92
Diffusion Models Already Have A Semantic Latent Space
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #74
Diffusion Posterior Sampling for General Noisy Inverse Problems
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #93
Generative Modelling with Inverse Heat Dissipation
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #75
Discrete Predictor-Corrector Diffusion Models for Image Synthesis
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #94
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #76
Explicitly Minimizing the Blur Error of Variational Autoencoders
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #95
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #114
Prompt-to-Prompt Image Editing with Cross-Attention Control
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #133
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #113
Factorized Fourier Neural Operators
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #132
Competitive Physics Informed Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #112
Learning Symbolic Models for Graph-structured Physical Mechanism
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #131
Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #111
Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #130
Protein Representation Learning by Geometric Structure Pretraining
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #110
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #129
Computational Language Acquisition with Theory of Mind
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #109
Exploring perceptual straightness in learned visual representations
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #128
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #108
CUTS: Neural Causal Discovery from Irregular Time-Series Data
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #107
Diffusion Models for Causal Discovery via Topological Ordering
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #126
Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #106
Trading Information between Latents in Hierarchical Variational Autoencoders
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #125
Neural Causal Models for Counterfactual Identification and Estimation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #105
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #124
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #104
SpeedyZero: Mastering Atari with Limited Data and Time
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #123
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #148
Optimal Transport for Offline Imitation Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #103
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #122
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #102
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #121
Multi-skill Mobile Manipulation for Object Rearrangement
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #101
Near-optimal Policy Identification in Active Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #120
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #119
Minimum Description Length Control
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #99
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #118
Become a Proficient Player with Limited Data through Watching Pure Videos
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #98
Learning About Progress From Experts
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #117
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #97
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #116
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
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Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #96
POPGym: Benchmarking Partially Observable Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #115
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #153
Global Explainability of GNNs via Logic Combination of Learned Concepts
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Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #154
Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #136
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #155
An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #137
Fairness and Accuracy under Domain Generalization
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #156
Variational Information Pursuit for Interpretable Predictions
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #138
Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #157
Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #139
Measure the Predictive Heterogeneity
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #158
MultiViz: Towards Visualizing and Understanding Multimodal Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #140
Effects of Graph Convolutions in Multi-layer Networks
[
Slides]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #159
Memorization Capacity of Neural Networks with Conditional Computation
[
OpenReview]
In-Person Poster presentation / top 25% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #141
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #142
Constructive TT-representation of the tensors given as index interaction functions with applications
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #161
Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #143
Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #162
Information-Theoretic Analysis of Unsupervised Domain Adaptation
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #144
Modeling content creator incentives on algorithm-curated platforms
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Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #163
Optimizing Spca-based Continual Learning: A Theoretical Approach
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #164
Amortised Invariance Learning for Contrastive Self-Supervision
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #146
Unsupervised visualization of image datasets using contrastive learning
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #165
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #147
Temperature Schedules for self-supervised contrastive methods on long-tail data
[
OpenReview]
In-Person Poster presentation / poster accept
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #166
The hidden uniform cluster prior in self-supervised learning
[
Poster]
[
OpenReview]
Session
Mon May 01 07:30 AM -- 09:30 AM (PDT) @ MH1+2+3+4 None
Poster Session 2
Remarks
Mon May 01 09:30 AM -- 09:50 AM (PDT) @ Auditorium None
Opening Ceremony
Reception
Mon May 01 09:50 AM -- 11:00 AM (PDT) @ The Square None
Reception
Registration Desk
Mon May 01 11:00 PM -- 09:00 AM (PDT) None
Registration / Check-in
Invited Talk
Mon May 01 11:30 PM -- 12:30 AM (PDT) @ Auditorium None
Importance-Weighting Approach to Distribution Shift Adaptation
Break
Tue May 02 12:30 AM -- 01:00 AM (PDT) None
Coffee Break
In-Person Oral presentation / top 25% paper
Tue May 02 01:00 AM -- 01:10 AM (PDT) @ AD1 None
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
In-Person Oral presentation / top 5% paper
Tue May 02 01:00 AM -- 01:10 AM (PDT) @ AD11 None
On the duality between contrastive and non-contrastive self-supervised learning
In-Person Oral presentation / top 25% paper
Tue May 02 01:00 AM -- 01:10 AM (PDT) @ Auditorium None
Adversarial Diversity in Hanabi
In-Person Oral presentation / top 25% paper
Tue May 02 01:00 AM -- 01:10 AM (PDT) @ AD10 None
The Role of ImageNet Classes in Fréchet Inception Distance
In-Person Oral presentation / top 5% paper
Tue May 02 01:00 AM -- 01:10 AM (PDT) @ AD12 None
Efficient Conditionally Invariant Representation Learning
Session
Tue May 02 01:00 AM -- 02:30 AM (PDT) @ AD11 None
Oral 3 Track 4: General Machine Learning & Unsupervised and Self-supervised learning
Session
Tue May 02 01:00 AM -- 02:30 AM (PDT) @ AD10 None
Oral 3 Track 3: Generative models
Session
Tue May 02 01:00 AM -- 02:30 AM (PDT) @ AD1 None
Oral 3 Track 5: Deep Learning and representational learning & Neuroscience and Cognitive Science
Session
Tue May 02 01:00 AM -- 02:30 AM (PDT) @ AD12 None
Oral 3 Track 2: Deep Learning and representational learning
Session
Tue May 02 01:00 AM -- 02:30 AM (PDT) @ Auditorium None
Oral 3 Track 1: Reinforcement Learning
In-Person Oral presentation / top 25% paper
Tue May 02 01:10 AM -- 01:20 AM (PDT) @ AD11 None
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
In-Person Oral presentation / top 25% paper
Tue May 02 01:10 AM -- 01:20 AM (PDT) @ AD1 None
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
In-Person Oral presentation / top 5% paper
Tue May 02 01:10 AM -- 01:20 AM (PDT) @ Auditorium None
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
In-Person Oral presentation / top 5% paper
Tue May 02 01:10 AM -- 01:20 AM (PDT) @ AD12 None
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
In-Person Oral presentation / top 25% paper
Tue May 02 01:10 AM -- 01:20 AM (PDT) @ AD10 None
Learning Diffusion Bridges on Constrained Domains
In-Person Oral presentation / top 5% paper
Tue May 02 01:20 AM -- 01:30 AM (PDT) @ AD1 None
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
In-Person Oral presentation / top 25% paper
Tue May 02 01:20 AM -- 01:30 AM (PDT) @ AD11 None
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
In-Person Oral presentation / top 25% paper
Tue May 02 01:20 AM -- 01:30 AM (PDT) @ AD10 None
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
In-Person Oral presentation / top 25% paper
Tue May 02 01:20 AM -- 01:30 AM (PDT) @ Auditorium None
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
In-Person Oral presentation / top 25% paper
Tue May 02 01:20 AM -- 01:30 AM (PDT) @ AD12 None
Omnigrok: Grokking Beyond Algorithmic Data
In-Person Oral presentation / top 25% paper
Tue May 02 01:30 AM -- 01:40 AM (PDT) @ AD1 None
QuAnt: Quantum Annealing with Learnt Couplings
In-Person Oral presentation / top 25% paper
Tue May 02 01:30 AM -- 01:40 AM (PDT) @ AD11 None
Self-supervised learning with rotation-invariant kernels
In-Person Oral presentation / top 25% paper
Tue May 02 01:30 AM -- 01:40 AM (PDT) @ AD10 None
Learning multi-scale local conditional probability models of images
In-Person Oral presentation / top 5% paper
Tue May 02 01:30 AM -- 01:40 AM (PDT) @ Auditorium None
On the Sensitivity of Reward Inference to Misspecified Human Models
In-Person Oral presentation / top 25% paper
Tue May 02 01:30 AM -- 01:40 AM (PDT) @ AD12 None
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
In-Person Oral presentation / top 25% paper
Tue May 02 01:40 AM -- 01:50 AM (PDT) @ AD1 None
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
In-Person Oral presentation / top 25% paper
Tue May 02 01:40 AM -- 01:50 AM (PDT) @ AD11 None
DINO as a von Mises-Fisher mixture model
In-Person Oral presentation / top 25% paper
Tue May 02 01:40 AM -- 01:50 AM (PDT) @ AD10 None
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
In-Person Oral presentation / top 5% paper
Tue May 02 01:40 AM -- 01:50 AM (PDT) @ AD12 None
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
In-Person Oral presentation / top 25% paper
Tue May 02 01:40 AM -- 01:50 AM (PDT) @ Auditorium None
Understanding and Adopting Rational Behavior by Bellman Score Estimation
In-Person Oral presentation / top 25% paper
Tue May 02 01:50 AM -- 02:00 AM (PDT) @ AD1 None
The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks
In-Person Oral presentation / top 25% paper
Tue May 02 01:50 AM -- 02:00 AM (PDT) @ AD11 None
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
[
Slides]
In-Person Oral presentation / top 25% paper
Tue May 02 01:50 AM -- 02:00 AM (PDT) @ Auditorium None
SMART: Self-supervised Multi-task pretrAining with contRol Transformers
In-Person Oral presentation / top 25% paper
Tue May 02 01:50 AM -- 02:00 AM (PDT) @ AD12 None
Multi-lingual Evaluation of Code Generation Models
In-Person Oral presentation / top 25% paper
Tue May 02 01:50 AM -- 02:00 AM (PDT) @ AD10 None
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
In-Person Oral presentation / top 5% paper
Tue May 02 02:00 AM -- 02:10 AM (PDT) @ AD1 None
The Lie Derivative for Measuring Learned Equivariance
In-Person Oral presentation / top 5% paper
Tue May 02 02:00 AM -- 02:10 AM (PDT) @ Auditorium None
Dichotomy of Control: Separating What You Can Control from What You Cannot
In-Person Oral presentation / top 25% paper
Tue May 02 02:00 AM -- 02:10 AM (PDT) @ AD10 None
Deterministic training of generative autoencoders using invertible layers
In-Person Oral presentation / top 25% paper
Tue May 02 02:00 AM -- 02:10 AM (PDT) @ AD11 None
Efficient Discrete Multi Marginal Optimal Transport Regularization
In-Person Oral presentation / top 5% paper
Tue May 02 02:00 AM -- 02:10 AM (PDT) @ AD12 None
Rethinking the Expressive Power of GNNs via Graph Biconnectivity
In-Person Oral presentation / top 25% paper
Tue May 02 02:10 AM -- 02:20 AM (PDT) @ AD1 None
Training language models to summarize narratives improves brain alignment
In-Person Oral presentation / top 5% paper
Tue May 02 02:10 AM -- 02:20 AM (PDT) @ Auditorium None
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
In-Person Oral presentation / top 25% paper
Tue May 02 02:10 AM -- 02:20 AM (PDT) @ AD11 None
Sparsity-Constrained Optimal Transport
In-Person Oral presentation / top 5% paper
Tue May 02 02:10 AM -- 02:20 AM (PDT) @ AD10 None
3D generation on ImageNet
In-Person Oral presentation / top 25% paper
Tue May 02 02:10 AM -- 02:20 AM (PDT) @ AD12 None
Hyperbolic Deep Reinforcement Learning
Break
Tue May 02 02:30 AM -- 04:30 AM (PDT) None
Lunch
Virtual presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #43
Few-shot Backdoor Attacks via Neural Tangent Kernels
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #38
Mid-Vision Feedback
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #57
Markup-to-Image Diffusion Models with Scheduled Sampling
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #37
Language models are multilingual chain-of-thought reasoners
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #56
Language Models Can Teach Themselves to Program Better
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #36
A Non-monotonic Self-terminating Language Model
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #55
DiffusER: Diffusion via Edit-based Reconstruction
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #35
Understanding Embodied Reference with Touch-Line Transformer
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #54
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #34
Active Image Indexing
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #53
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #33
Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #52
Agent-based Graph Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #32
Limitless Stability for Graph Convolutional Networks
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #51
The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #31
Rethinking the Expressive Power of GNNs via Graph Biconnectivity
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #50
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #30
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #49
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #29
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #48
QuAnt: Quantum Annealing with Learnt Couplings
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #28
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #47
Treeformer: Dense Gradient Trees for Efficient Attention Computation
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #27
Latent Bottlenecked Attentive Neural Processes
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #46
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #26
Multi-lingual Evaluation of Code Generation Models
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #25
DFPC: Data flow driven pruning of coupled channels without data.
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #44
The Lie Derivative for Measuring Learned Equivariance
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #24
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #23
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #42
Scaling Forward Gradient With Local Losses
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #22
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #41
The Curious Case of Benign Memorization
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #21
Topology-aware Robust Optimization for Out-of-Distribution Generalization
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #40
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #20
This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #39
ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #58
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #77
DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #59
Leveraging Unlabeled Data to Track Memorization
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #78
Data Valuation Without Training of a Model
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #60
Multivariate Time-series Imputation with Disentangled Temporal Representations
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #79
Learning to Compose Soft Prompts for Compositional Zero-Shot Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #61
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #62
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #81
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #63
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #82
Unicom: Universal and Compact Representation Learning for Image Retrieval
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #64
Online Boundary-Free Continual Learning by Scheduled Data Prior
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #83
Efficient Conditionally Invariant Representation Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #65
Learning to Extrapolate: A Transductive Approach
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #84
FedFA: Federated Feature Augmentation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #66
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #85
Omnigrok: Grokking Beyond Algorithmic Data
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #67
Backpropagation through Combinatorial Algorithms: Identity with Projection Works
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #86
Neural Radiance Field Codebooks
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #68
Autoregressive Conditional Neural Processes
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #87
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #69
FIT: A Metric for Model Sensitivity
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #70
Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #89
Label Propagation with Weak Supervision
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #71
Learning to CROSS exchange to solve min-max vehicle routing problems
[
Slides]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #90
Continual Pre-training of Language Models
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #72
Diffusion Probabilistic Fields
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #91
FunkNN: Neural Interpolation for Functional Generation
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #92
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #93
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #75
The Role of ImageNet Classes in Fréchet Inception Distance
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #94
3D generation on ImageNet
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #95
LDMIC: Learning-based Distributed Multi-view Image Coding
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #114
Learning multi-scale local conditional probability models of images
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #133
Learning Diffusion Bridges on Constrained Domains
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #113
StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #132
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #112
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #131
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #111
Sampling-free Inference for Ab-Initio Potential Energy Surface Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #130
Actionable Neural Representations: Grid Cells from Minimal Constraints
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #110
Training language models to summarize narratives improves brain alignment
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #109
Sparsity-Constrained Optimal Transport
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #128
Noise Is Not the Main Factor Behind the Gap Between Sgd and Adam on Transformers, But Sign Descent Might Be
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #108
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #127
Efficient Discrete Multi Marginal Optimal Transport Regularization
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #107
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #126
Sampling-based inference for large linear models, with application to linearised Laplace
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #106
Bridge the Inference Gaps of Neural Processes via Expectation Maximization
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #125
Estimating individual treatment effects under unobserved confounding using binary instruments
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #105
Imitating Human Behaviour with Diffusion Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #124
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #104
Integrating Symmetry into Differentiable Planning with Steerable Convolutions
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #123
Transformer-based World Models Are Happy With 100k Interactions
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #103
Adversarial Diversity in Hanabi
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #122
On the Sensitivity of Reward Inference to Misspecified Human Models
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #102
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #121
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #101
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #120
Understanding and Adopting Rational Behavior by Bellman Score Estimation
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #100
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #119
Dichotomy of Control: Separating What You Can Control from What You Cannot
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #99
Adversarial Imitation Learning with Preferences
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #118
SMART: Self-supervised Multi-task pretrAining with contRol Transformers
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #98
Efficient Planning in a Compact Latent Action Space
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #45
Hyperbolic Deep Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #97
Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #116
A Mixture-of-Expert Approach to RL-based Dialogue Management
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #96
Efficient Deep Reinforcement Learning Requires Regulating Overfitting
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #115
Large Language Models are Human-Level Prompt Engineers
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #134
Holistic Adversarially Robust Pruning
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #153
FaiREE: fair classification with finite-sample and distribution-free guarantee
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #135
Efficient Certified Training and Robustness Verification of Neural ODEs
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #154
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #136
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #155
GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #137
Easy Differentially Private Linear Regression
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #156
Revisiting Robustness in Graph Machine Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #138
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #157
Tuning Frequency Bias in Neural Network Training with Nonuniform Data
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #139
Adaptive Optimization in the $\infty$-Width Limit
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #158
How Sharpness-Aware Minimization Minimizes Sharpness?
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #140
Mini-batch $k$-means terminates within $O(d/\epsilon)$ iterations
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #159
Fundamental limits on the robustness of image classifiers
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #141
Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #160
Interpretations of Domain Adaptations via Layer Variational Analysis
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #142
Long-Tailed Learning Requires Feature Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #161
Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #143
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #162
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #144
Link Prediction with Non-Contrastive Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #145
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #164
DINO as a von Mises-Fisher mixture model
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #146
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #165
On the duality between contrastive and non-contrastive self-supervised learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #147
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #166
Self-supervised learning with rotation-invariant kernels
[
Poster]
[
OpenReview]
Session
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1+2+3+4 None
Poster Session 3
Affinity Poster Session
Tue May 02 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 None
Blog Track Poster Session
Invited Talk
Tue May 02 04:30 AM -- 05:30 AM (PDT) @ Auditorium None
AI, History and Equity
Break
Tue May 02 05:30 AM -- 06:00 AM (PDT) None
Coffee Break
In-Person Oral presentation / top 5% paper
Tue May 02 06:00 AM -- 06:10 AM (PDT) @ AD10 None
Transformers are Sample-Efficient World Models
In-Person Oral presentation / top 25% paper
Tue May 02 06:00 AM -- 06:10 AM (PDT) @ AD1 None
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
[
Slides]
In-Person Oral presentation / top 25% paper
Tue May 02 06:00 AM -- 06:10 AM (PDT) @ Auditorium None
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition
In-Person Oral presentation / top 5% paper
Tue May 02 06:00 AM -- 06:10 AM (PDT) @ AD4 None
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
In-Person Oral presentation / top 25% paper
Tue May 02 06:00 AM -- 06:10 AM (PDT) @ AD11 None
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
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Slides]
In-Person Oral presentation / top 25% paper
Tue May 02 06:00 AM -- 06:10 AM (PDT) @ AD12 None
Planning Goals for Exploration
Session
Tue May 02 06:00 AM -- 07:30 AM (PDT) @ AD4 None
Oral 4 Track 5: Machine Learning for Sciences & Probabilistic Methods
Session
Tue May 02 06:00 AM -- 07:30 AM (PDT) @ AD1 None
Oral 4 Track 2: Probabilistic Methods
Session
Tue May 02 06:00 AM -- 07:30 AM (PDT) @ AD12 None
Oral 4 Track 3: Reinforcement Learning I
Session
Tue May 02 06:00 AM -- 07:30 AM (PDT) @ AD10 None
Oral 4 Track 4: Reinforcement Learning II
Session
Tue May 02 06:00 AM -- 07:30 AM (PDT) @ Auditorium None
Oral 4 Track 6: Deep Learning and representational learning- Reinforcement Learning
Session
Tue May 02 06:00 AM -- 07:30 AM (PDT) @ AD11 None
Oral 4 Track 1: Unsupervised and Self-supervised learning
In-Person Oral presentation / top 25% paper
Tue May 02 06:10 AM -- 06:20 AM (PDT) @ AD12 None
Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation
In-Person Oral presentation / top 25% paper
Tue May 02 06:10 AM -- 06:20 AM (PDT) @ AD4 None
Flow Annealed Importance Sampling Bootstrap
In-Person Oral presentation / top 25% paper
Tue May 02 06:10 AM -- 06:20 AM (PDT) @ Auditorium None
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks
In-Person Oral presentation / top 25% paper
Tue May 02 06:10 AM -- 06:20 AM (PDT) @ AD10 None
Building a Subspace of Policies for Scalable Continual Learning
In-Person Oral presentation / top 25% paper
Tue May 02 06:10 AM -- 06:20 AM (PDT) @ AD11 None
AANG : Automating Auxiliary Learning
In-Person Oral presentation / top 5% paper
Tue May 02 06:10 AM -- 06:20 AM (PDT) @ AD1 None
SAM as an Optimal Relaxation of Bayes
In-Person Oral presentation / top 25% paper
Tue May 02 06:20 AM -- 06:30 AM (PDT) @ AD4 None
Learning Controllable Adaptive Simulation for Multi-resolution Physics
In-Person Oral presentation / top 25% paper
Tue May 02 06:20 AM -- 06:30 AM (PDT) @ AD12 None
Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning
[
Slides]
In-Person Oral presentation / top 25% paper
Tue May 02 06:20 AM -- 06:30 AM (PDT) @ AD10 None
Neural Episodic Control with State Abstraction
In-Person Oral presentation / top 25% paper
Tue May 02 06:20 AM -- 06:30 AM (PDT) @ Auditorium None
Learning Label Encodings for Deep Regression
In-Person Oral presentation / top 25% paper
Tue May 02 06:20 AM -- 06:30 AM (PDT) @ AD1 None
Generative Augmented Flow Networks
In-Person Oral presentation / top 25% paper
Tue May 02 06:20 AM -- 06:30 AM (PDT) @ AD11 None
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
In-Person Oral presentation / top 25% paper
Tue May 02 06:30 AM -- 06:40 AM (PDT) @ AD4 None
Minimax Optimal Kernel Operator Learning via Multilevel Training
In-Person Oral presentation / top 25% paper
Tue May 02 06:30 AM -- 06:40 AM (PDT) @ AD12 None
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
In-Person Oral presentation / top 25% paper
Tue May 02 06:30 AM -- 06:40 AM (PDT) @ AD1 None
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
In-Person Oral presentation / top 25% paper
Tue May 02 06:30 AM -- 06:40 AM (PDT) @ AD11 None
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts
In-Person Oral presentation / top 5% paper
Tue May 02 06:30 AM -- 06:40 AM (PDT) @ AD10 None
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection
[
Slides]
In-Person Oral presentation / top 25% paper
Tue May 02 06:30 AM -- 06:40 AM (PDT) @ Auditorium None
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
In-Person Oral presentation / top 25% paper
Tue May 02 06:40 AM -- 06:50 AM (PDT) @ AD4 None
Neural Lagrangian Schr\"{o}dinger Bridge: Diffusion Modeling for Population Dynamics
In-Person Oral presentation / top 25% paper
Tue May 02 06:40 AM -- 06:50 AM (PDT) @ AD12 None
Choreographer: Learning and Adapting Skills in Imagination
In-Person Oral presentation / top 25% paper
Tue May 02 06:40 AM -- 06:50 AM (PDT) @ AD11 None
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
[
Slides]
In-Person Oral presentation / top 5% paper
Tue May 02 06:40 AM -- 06:50 AM (PDT) @ AD10 None
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
In-Person Oral presentation / top 25% paper
Tue May 02 06:40 AM -- 06:50 AM (PDT) @ AD1 None
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
In-Person Oral presentation / top 25% paper
Tue May 02 06:40 AM -- 06:50 AM (PDT) @ Auditorium None
A Unified Algebraic Perspective on Lipschitz Neural Networks
In-Person Oral presentation / top 25% paper
Tue May 02 06:50 AM -- 07:00 AM (PDT) @ AD12 None
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
In-Person Oral presentation / top 25% paper
Tue May 02 06:50 AM -- 07:00 AM (PDT) @ AD4 None
Pre-training via Denoising for Molecular Property Prediction
In-Person Oral presentation / top 5% paper
Tue May 02 06:50 AM -- 07:00 AM (PDT) @ Auditorium None
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data
In-Person Oral presentation / top 5% paper
Tue May 02 06:50 AM -- 07:00 AM (PDT) @ AD11 None
Towards Stable Test-time Adaptation in Dynamic Wild World
In-Person Oral presentation / top 25% paper
Tue May 02 06:50 AM -- 07:00 AM (PDT) @ AD1 None
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
In-Person Oral presentation / top 5% paper
Tue May 02 06:50 AM -- 07:00 AM (PDT) @ AD10 None
Is Conditional Generative Modeling all you need for Decision Making?
In-Person Oral presentation / top 25% paper
Tue May 02 07:00 AM -- 07:10 AM (PDT) @ AD4 None
MARS: Meta-learning as Score Matching in the Function Space
In-Person Oral presentation / top 5% paper
Tue May 02 07:00 AM -- 07:10 AM (PDT) @ AD12 None
Confidence-Conditioned Value Functions for Offline Reinforcement Learning
In-Person Oral presentation / top 5% paper
Tue May 02 07:00 AM -- 07:10 AM (PDT) @ Auditorium None
Git Re-Basin: Merging Models modulo Permutation Symmetries
In-Person Oral presentation / top 25% paper
Tue May 02 07:00 AM -- 07:10 AM (PDT) @ AD1 None
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise
In-Person Oral presentation / top 25% paper
Tue May 02 07:00 AM -- 07:10 AM (PDT) @ AD11 None
Proposal-Contrastive Pretraining for Object Detection from Fewer Data
In-Person Oral presentation / top 25% paper
Tue May 02 07:00 AM -- 07:10 AM (PDT) @ AD10 None
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch
In-Person Oral presentation / top 5% paper
Tue May 02 07:10 AM -- 07:20 AM (PDT) @ AD12 None
Extreme Q-Learning: MaxEnt RL without Entropy
In-Person Oral presentation / top 5% paper
Tue May 02 07:10 AM -- 07:20 AM (PDT) @ Auditorium None
In-context Reinforcement Learning with Algorithm Distillation
In-Person Oral presentation / top 25% paper
Tue May 02 07:10 AM -- 07:20 AM (PDT) @ AD11 None
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
In-Person Oral presentation / top 25% paper
Tue May 02 07:10 AM -- 07:20 AM (PDT) @ AD10 None
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #34
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #36
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
[
OpenReview]
Virtual presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #168
Mind the Pool: Convolutional Neural Networks Can Overfit Input Size
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #38
Compositional Semantic Parsing with Large Language Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #57
NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #37
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks
[
JMLR]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #56
Revisiting Populations in multi-agent Communication
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #54
Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #53
D4AM: A General Denoising Framework for Downstream Acoustic Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #33
Sparse Token Transformer with Attention Back Tracking
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #52
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #32
Video Scene Graph Generation from Single-Frame Weak Supervision
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #51
Personalized Reward Learning with Interaction-Grounded Learning (IGL)
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #31
Learning Locality and Isotropy in Dialogue Modeling
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #50
Latent Graph Inference using Product Manifolds
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #30
Spikformer: When Spiking Neural Network Meets Transformer
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #49
Specformer: Spectral Graph Neural Networks Meet Transformers
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #29
A Unified Algebraic Perspective on Lipschitz Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #48
Git Re-Basin: Merging Models modulo Permutation Symmetries
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #28
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #47
Don’t forget the nullspace! Nullspace occupancy as a mechanism for out of distribution failure
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #27
DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #46
Extremely Simple Activation Shaping for Out-of-Distribution Detection
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #26
A Unified Framework for Soft Threshold Pruning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #45
Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #25
Massively Scaling Heteroscedastic Classifiers
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #44
That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #24
What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #43
Towards Robust Object Detection Invariant to Real-World Domain Shifts
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #23
Self-Distillation for Further Pre-training of Transformers
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #42
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #22
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #41
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #21
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #40
Enhancing Meta Learning via Multi-Objective Soft Improvement Functions
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #20
Learning Label Encodings for Deep Regression
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #39
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #58
PerFedMask: Personalized Federated Learning with Optimized Masking Vectors
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #77
Data augmentation alone can improve adversarial training
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #59
Scaling Laws For Deep Learning Based Image Reconstruction
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #140
(Certified!!) Adversarial Robustness for Free!
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #78
Learning with Auxiliary Activation for Memory-Efficient Training
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #60
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #79
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #61
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #80
Disentangling Learning Representations with Density Estimation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #62
Linearly Mapping from Image to Text Space
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #81
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #82
Reliability of CKA as a Similarity Measure in Deep Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #64
Beyond calibration: estimating the grouping loss of modern neural networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #83
Approximate Vanishing Ideal Computations at Scale
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #65
Artificial Neuronal Ensembles with Learned Context Dependent Gating
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #63
Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #84
Online Bias Correction for Task-Free Continual Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #66
Towards Smooth Video Composition
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #116
On the Importance and Applicability of Pre-Training for Federated Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #67
Long Range Language Modeling via Gated State Spaces
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #86
A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #68
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #87
Neural Lagrangian Schr\"{o}dinger Bridge: Diffusion Modeling for Population Dynamics
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #69
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #88
On the Word Boundaries of Emergent Languages Based on Harris's Articulation Scheme
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Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #70
Deep Generative Symbolic Regression
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #89
De Novo Molecular Generation via Connection-aware Motif Mining
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #71
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #90
Pre-training via Denoising for Molecular Property Prediction
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #167
Flow Annealed Importance Sampling Bootstrap
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #72
Minimax Optimal Kernel Operator Learning via Multilevel Training
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #91
Learning Controllable Adaptive Simulation for Multi-resolution Physics
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #73
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #92
One Transformer Can Understand Both 2D & 3D Molecular Data
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #74
Simplicial Hopfield networks
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #93
Bayesian Oracle for bounding information gain in neural encoding models
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #75
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #94
Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
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Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #76
Faster federated optimization under second-order similarity
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #114
Generative Augmented Flow Networks
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #133
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #113
SAM as an Optimal Relaxation of Bayes
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #132
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #112
GFlowNets and variational inference
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #131
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #111
Energy-Based Test Sample Adaptation for Domain Generalization
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #130
MARS: Meta-learning as Score Matching in the Function Space
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #110
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #129
Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #109
Versatile Neural Processes for Learning Implicit Neural Representations
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #128
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #108
Causal Imitation Learning via Inverse Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #127
Neural Episodic Control with State Abstraction
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #107
Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #126
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #106
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #125
Population-size-Aware Policy Optimization for Mean-Field Games
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #105
Is Conditional Generative Modeling all you need for Decision Making?
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #124
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #104
Building a Subspace of Policies for Scalable Continual Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #123
Choreographer: Learning and Adapting Skills in Imagination
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #103
Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #122
Investigating Multi-task Pretraining and Generalization in Reinforcement Learning
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #102
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #121
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #120
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #100
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #85
Planning Goals for Exploration
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #119
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #99
The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #118
Imitating Graph-Based Planning with Goal-Conditioned Policies
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #98
Decision Transformer under Random Frame Dropping
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #117
Transformers are Sample-Efficient World Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #97
Extreme Q-Learning: MaxEnt RL without Entropy
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #96
In-context Reinforcement Learning with Algorithm Distillation
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #115
Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #134
Confidence-Conditioned Value Functions for Offline Reinforcement Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #153
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #135
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #148
Prompting GPT-3 To Be Reliable
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #154
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #136
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #155
Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #137
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #156
Efficient Model Updates for Approximate Unlearning of Graph-Structured Data
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #138
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #139
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #158
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #95
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #159
On Achieving Optimal Adversarial Test Error
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #141
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #160
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #142
Meta-Learning in Games
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #161
Towards Stable Test-time Adaptation in Dynamic Wild World
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #143
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #162
AANG : Automating Auxiliary Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #144
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #163
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #145
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
[
Slides]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #149
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #164
Don’t fear the unlabelled: safe semi-supervised learning via debiasing
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #146
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #157
wav2tok: Deep Sequence Tokenizer for Audio Retrieval
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #165
Proposal-Contrastive Pretraining for Object Detection from Fewer Data
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #147
Jointly Learning Visual and Auditory Speech Representations from Raw Data
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #166
Weighted Ensemble Self-Supervised Learning
[
OpenReview]
Session
Tue May 02 07:30 AM -- 09:30 AM (PDT) @ MH1+2+3+4 None
Poster Session 4
Registration Desk
Tue May 02 11:00 PM -- 09:00 AM (PDT) None
Registration / Check-in
Invited Talk
Tue May 02 11:30 PM -- 12:30 AM (PDT) @ Auditorium None
Dialogue Research in the Era of LLMs
Break
Wed May 03 12:30 AM -- 01:00 AM (PDT) None
Coffee Break
In-Person Oral presentation / top 25% paper
Wed May 03 01:00 AM -- 01:10 AM (PDT) @ AD10 None
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
In-Person Oral presentation / top 25% paper
Wed May 03 01:00 AM -- 01:10 AM (PDT) @ AD12 None
Hungry Hungry Hippos: Towards Language Modeling with State Space Models
In-Person Oral presentation / top 25% paper
Wed May 03 01:00 AM -- 01:10 AM (PDT) @ AD11 None
Progress measures for grokking via mechanistic interpretability
In-Person Oral presentation / top 25% paper
Wed May 03 01:00 AM -- 01:10 AM (PDT) @ Auditorium None
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
In-Person Oral presentation / top 25% paper
Wed May 03 01:00 AM -- 01:10 AM (PDT) @ AD1 None
DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity
Session
Wed May 03 01:00 AM -- 02:30 AM (PDT) @ AD12 None
Oral 5 Track 3: Deep Learning and representational learning
Session
Wed May 03 01:00 AM -- 02:30 AM (PDT) @ AD1 None
Oral 5 Track 2: Optimization
Session
Wed May 03 01:00 AM -- 02:30 AM (PDT) @ Auditorium None
Oral 5 Track 5: Deep Learning and representational learning & Reinforcement Learning
Session
Wed May 03 01:00 AM -- 02:30 AM (PDT) @ AD10 None
Oral 5 Track 4: Applications & Optimization
Session
Wed May 03 01:00 AM -- 02:30 AM (PDT) @ AD11 None
Oral 5 Track 1: Unsupervised and Self-supervised learning & Social Aspects of Machine Learning-
In-Person Oral presentation / top 25% paper
Wed May 03 01:10 AM -- 01:20 AM (PDT) @ AD11 None
Localized Randomized Smoothing for Collective Robustness Certification
In-Person Oral presentation / top 5% paper
Wed May 03 01:10 AM -- 01:20 AM (PDT) @ AD10 None
Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
In-Person Oral presentation / top 5% paper
Wed May 03 01:10 AM -- 01:20 AM (PDT) @ AD12 None
Relative representations enable zero-shot latent space communication
In-Person Oral presentation / top 25% paper
Wed May 03 01:10 AM -- 01:20 AM (PDT) @ AD1 None
Single-shot General Hyper-parameter Optimization for Federated Learning
In-Person Oral presentation / top 25% paper
Wed May 03 01:10 AM -- 01:20 AM (PDT) @ Auditorium None
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
In-Person Oral presentation / top 25% paper
Wed May 03 01:20 AM -- 01:30 AM (PDT) @ AD11 None
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes
In-Person Oral presentation / top 25% paper
Wed May 03 01:20 AM -- 01:30 AM (PDT) @ AD12 None
ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion
In-Person Oral presentation / top 25% paper
Wed May 03 01:20 AM -- 01:30 AM (PDT) @ AD1 None
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
In-Person Oral presentation / top 5% paper
Wed May 03 01:20 AM -- 01:30 AM (PDT) @ Auditorium None
Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
In-Person Oral presentation / top 25% paper
Wed May 03 01:20 AM -- 01:30 AM (PDT) @ AD10 None
DocPrompting: Generating Code by Retrieving the Docs
In-Person Oral presentation / top 25% paper
Wed May 03 01:30 AM -- 01:40 AM (PDT) @ AD11 None
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
In-Person Oral presentation / top 25% paper
Wed May 03 01:30 AM -- 01:40 AM (PDT) @ AD1 None
FedExP: Speeding Up Federated Averaging via Extrapolation
In-Person Oral presentation / top 25% paper
Wed May 03 01:30 AM -- 01:40 AM (PDT) @ AD12 None
Distilling Model Failures as Directions in Latent Space
In-Person Oral presentation / top 5% paper
Wed May 03 01:30 AM -- 01:40 AM (PDT) @ AD10 None
View Synthesis with Sculpted Neural Points
In-Person Oral presentation / top 25% paper
Wed May 03 01:30 AM -- 01:40 AM (PDT) @ Auditorium None
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
In-Person Oral presentation / top 25% paper
Wed May 03 01:40 AM -- 01:50 AM (PDT) @ AD11 None
Model-based Causal Bayesian Optimization
In-Person Oral presentation / top 5% paper
Wed May 03 01:40 AM -- 01:50 AM (PDT) @ AD12 None
Graph Neural Networks for Link Prediction with Subgraph Sketching
In-Person Oral presentation / top 25% paper
Wed May 03 01:40 AM -- 01:50 AM (PDT) @ Auditorium None
A Primal-Dual Framework for Transformers and Neural Networks
In-Person Oral presentation / top 25% paper
Wed May 03 01:40 AM -- 01:50 AM (PDT) @ AD1 None
LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
In-Person Oral presentation / top 25% paper
Wed May 03 01:40 AM -- 01:50 AM (PDT) @ AD10 None
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
In-Person Oral presentation / top 25% paper
Wed May 03 01:50 AM -- 02:00 AM (PDT) @ AD11 None
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
In-Person Oral presentation / top 25% paper
Wed May 03 01:50 AM -- 02:00 AM (PDT) @ AD12 None
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks
In-Person Oral presentation / top 5% paper
Wed May 03 01:50 AM -- 02:00 AM (PDT) @ AD10 None
Visual Classification via Description from Large Language Models
In-Person Oral presentation / top 25% paper
Wed May 03 01:50 AM -- 02:00 AM (PDT) @ AD1 None
Multi-Objective Online Learning
In-Person Oral presentation / top 25% paper
Wed May 03 01:50 AM -- 02:00 AM (PDT) @ Auditorium None
Learning with Logical Constraints but without Shortcut Satisfaction
In-Person Oral presentation / top 5% paper
Wed May 03 02:00 AM -- 02:10 AM (PDT) @ AD11 None
SimPer: Simple Self-Supervised Learning of Periodic Targets
In-Person Oral presentation / top 25% paper
Wed May 03 02:00 AM -- 02:10 AM (PDT) @ Auditorium None
No Reason for No Supervision: Improved Generalization in Supervised Models
[
Slides]
In-Person Oral presentation / top 5% paper
Wed May 03 02:00 AM -- 02:10 AM (PDT) @ AD10 None
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
In-Person Oral presentation / top 5% paper
Wed May 03 02:00 AM -- 02:10 AM (PDT) @ AD12 None
REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH
In-Person Oral presentation / top 25% paper
Wed May 03 02:00 AM -- 02:10 AM (PDT) @ AD1 None
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
In-Person Oral presentation / top 25% paper
Wed May 03 02:10 AM -- 02:20 AM (PDT) @ AD11 None
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
In-Person Oral presentation / top 25% paper
Wed May 03 02:10 AM -- 02:20 AM (PDT) @ AD12 None
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
In-Person Oral presentation / top 25% paper
Wed May 03 02:10 AM -- 02:20 AM (PDT) @ Auditorium None
Generating Diverse Cooperative Agents by Learning Incompatible Policies
Break
Wed May 03 02:30 AM -- 04:30 AM (PDT) None
Lunch
In-Person presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #148
A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic Search
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #38
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #57
Globally Injective ReLU Networks
[
JMLR]
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #37
View Synthesis with Sculpted Neural Points
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #56
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #36
Calibrating Sequence likelihood Improves Conditional Language Generation
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #55
DocPrompting: Generating Code by Retrieving the Docs
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #35
DamoFD: Digging into Backbone Design on Face Detection
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #54
Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #34
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #53
Selective Annotation Makes Language Models Better Few-Shot Learners
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #33
The KFIoU Loss for Rotated Object Detection
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #52
$\mathrm{SE}(3)$-Equivariant Attention Networks for Shape Reconstruction in Function Space
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #32
Perfectly Secure Steganography Using Minimum Entropy Coupling
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #51
SLTUNET: A Simple Unified Model for Sign Language Translation
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #31
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #50
Visual Classification via Description from Large Language Models
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #30
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #49
Proactive Multi-Camera Collaboration for 3D Human Pose Estimation
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #29
AnyDA: Anytime Domain Adaptation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #48
SMART: Sentences as Basic Units for Text Evaluation
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #28
GAIN: On the Generalization of Instructional Action Understanding
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #47
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #27
Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #46
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #26
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #45
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #25
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #44
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #24
Graph Neural Networks for Link Prediction with Subgraph Sketching
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #43
Confidence-Based Feature Imputation for Graphs with Partially Known Features
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #23
Sparse tree-based Initialization for Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #42
REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #22
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #41
Liquid Structural State-Space Models
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #21
Predictive Inference with Feature Conformal Prediction
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #20
ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #39
Out-of-distribution Detection with Implicit Outlier Transformation
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #58
Improving Deep Regression with Ordinal Entropy
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #77
How I Learned to Stop Worrying and Love Retraining
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #59
Distilling Model Failures as Directions in Latent Space
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #78
Efficient Edge Inference by Selective Query
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #60
Understanding Zero-shot Adversarial Robustness for Large-Scale Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #79
A Primal-Dual Framework for Transformers and Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #80
Hungry Hungry Hippos: Towards Language Modeling with State Space Models
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #62
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #81
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #63
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #82
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #64
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #83
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #65
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #84
Linear Connectivity Reveals Generalization Strategies
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #66
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #85
Learning with Logical Constraints but without Shortcut Satisfaction
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #67
Confidence Estimation Using Unlabeled Data
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #68
NORM: Knowledge Distillation via N-to-One Representation Matching
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #87
Does Deep Learning Learn to Abstract? A Systematic Probing Framework
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #69
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #88
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning
[
JMLR]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #70
Is Forgetting Less a Good Inductive Bias for Forward Transfer?
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #89
Deep Learning on Implicit Neural Representations of Shapes
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #71
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #90
Bispectral Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #72
Bias Propagation in Federated Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #91
On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #73
Relative representations enable zero-shot latent space communication
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #92
No Reason for No Supervision: Improved Generalization in Supervised Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #74
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #93
Recursive Time Series Data Augmentation
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #75
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #94
Leveraging Importance Weights in Subset Selection
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #76
Generative Modeling Helps Weak Supervision (and Vice Versa)
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #95
Discovering Evolution Strategies via Meta-Black-Box Optimization
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #114
DAG Learning on the Permutahedron
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #133
Kernel Neural Optimal Transport
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #113
DiGress: Discrete Denoising diffusion for graph generation
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #132
Neural Architecture Design and Robustness: A Dataset
[
Slides]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #112
An Extensible Multi-modal Multi-task Object Dataset with Materials
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #131
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #111
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #130
Clifford Neural Layers for PDE Modeling
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #110
A Self-Attention Ansatz for Ab-initio Quantum Chemistry
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #129
Learning differentiable solvers for systems with hard constraints
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #109
Learning Domain-Agnostic Representation for Disease Diagnosis
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #128
GAMR: A Guided Attention Model for (visual) Reasoning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #108
RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #127
Finding Actual Descent Directions for Adversarial Training
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #107
DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #126
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #106
LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #125
An Adaptive Policy to Employ Sharpness-Aware Minimization
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #105
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #124
FedExP: Speeding Up Federated Averaging via Extrapolation
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #104
Multi-Objective Online Learning
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #123
Single-shot General Hyper-parameter Optimization for Federated Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #103
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #122
Robustness to corruption in pre-trained Bayesian neural networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #102
Particle-based Variational Inference with Preconditioned Functional Gradient Flow
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #167
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #121
Calibrating Transformers via Sparse Gaussian Processes
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #101
Measuring axiomatic soundness of counterfactual image models
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #120
Latent State Marginalization as a Low-cost Approach for Improving Exploration
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #100
Model-based Causal Bayesian Optimization
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #119
Hybrid RL: Using both offline and online data can make RL efficient
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #99
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #118
Generating Diverse Cooperative Agents by Learning Incompatible Policies
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #98
User-Interactive Offline Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #117
Simple Emergent Action Representations from Multi-Task Policy Training
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #86
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #97
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #116
Energy-based Out-of-Distribution Detection for Graph Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #40
Localized Randomized Smoothing for Collective Robustness Certification
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #61
Planning with Sequence Models through Iterative Energy Minimization
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #96
Robust Explanation Constraints for Neural Networks
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #134
Discovering Latent Knowledge in Language Models Without Supervision
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #115
Strategic Classification with Graph Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #153
Concept Gradient: Concept-based Interpretation Without Linear Assumption
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #135
A law of adversarial risk, interpolation, and label noise
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #154
Measuring Forgetting of Memorized Training Examples
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #136
Progress measures for grokking via mechanistic interpretability
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #155
Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #137
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #156
Individual Privacy Accounting with Gaussian Differential Privacy
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #138
Temporal Dependencies in Feature Importance for Time Series Prediction
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #157
Explaining RL Decisions with Trajectories
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #139
Stochastic Differentially Private and Fair Learning
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #158
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #140
How robust is unsupervised representation learning to distribution shift?
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #159
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #141
On the Saturation Effect of Kernel Ridge Regression
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #160
Characterizing the spectrum of the NTK via a power series expansion
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #142
Collaborative Pure Exploration in Kernel Bandit
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #161
Learning ReLU networks to high uniform accuracy is intractable
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #143
Understanding The Robustness of Self-supervised Learning Through Topic Modeling
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #162
Bidirectional Language Models Are Also Few-shot Learners
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #144
Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #163
From $t$-SNE to UMAP with contrastive learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #145
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #164
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #146
SimPer: Simple Self-Supervised Learning of Periodic Targets
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #165
What Do Self-Supervised Vision Transformers Learn?
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1-2-3-4 #147
Human-level Atari 200x faster
[
OpenReview]
Session
Wed May 03 02:30 AM -- 04:30 AM (PDT) @ MH1+2+3+4 None
Poster Session 5
Town Hall
Wed May 03 03:30 AM -- 04:00 AM (PDT) @ AD12 None
Town Hall: LLMs in the ICLR Writing Process?
Invited Talk
Wed May 03 04:30 AM -- 05:30 AM (PDT) @ Auditorium None
Learned optimizers: why they're the future, why they’re hard, and what they can do now
Break
Wed May 03 05:30 AM -- 06:00 AM (PDT) None
Coffee Break
Remarks
Wed May 03 05:30 AM -- 05:35 AM (PDT) @ Auditorium None
Closing Ceremony
Affinity Event
Wed May 03 06:00 AM -- 08:00 AM (PDT) @ Radisson Blu Hotel - Landre Terrace None
Women in Machine Learning Social
In-Person Oral presentation / top 25% paper
Wed May 03 06:00 AM -- 06:10 AM (PDT) @ AD10 None
Binding Language Models in Symbolic Languages
In-Person Oral presentation / top 5% paper
Wed May 03 06:00 AM -- 06:10 AM (PDT) @ Auditorium None
Language Modelling with Pixels
In-Person Oral presentation / top 5% paper
Wed May 03 06:00 AM -- 06:10 AM (PDT) @ AD12 None
Agree to Disagree: Diversity through Disagreement for Better Transferability
In-Person Oral presentation / top 5% paper
Wed May 03 06:00 AM -- 06:10 AM (PDT) @ AD1 None
Near-optimal Coresets for Robust Clustering
In-Person Oral presentation / top 5% paper
Wed May 03 06:00 AM -- 06:10 AM (PDT) @ AD11 None
DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics
In-Person Oral presentation / top 25% paper
Wed May 03 06:00 AM -- 06:10 AM (PDT) @ AD4 None
Unsupervised Model Selection for Time Series Anomaly Detection
Session
Wed May 03 06:00 AM -- 07:30 AM (PDT) @ AD10 None
Oral 6 Track 4: Applications & Social Aspects of Machine Learning & General Machine Learning
Session
Wed May 03 06:00 AM -- 07:30 AM (PDT) @ AD12 None
Oral 6 Track 3: Deep Learning and representational learning
Session
Wed May 03 06:00 AM -- 07:30 AM (PDT) @ AD1 None
Oral 6 Track 1: Theory
Session
Wed May 03 06:00 AM -- 07:30 AM (PDT) @ AD11 None
Oral 6 Track 2: Infrastructure & Social Aspects of Machine Learning
Session
Wed May 03 06:00 AM -- 07:30 AM (PDT) @ AD4 None
Oral 6 Track 6: Deep Learning
Session
Wed May 03 06:00 AM -- 07:30 AM (PDT) @ Auditorium None
Oral 6 Track 5: Applications- & Deep Learning and representational learning
In-Person Oral presentation / top 25% paper
Wed May 03 06:10 AM -- 06:20 AM (PDT) @ AD10 None
MeshDiffusion: Score-based Generative 3D Mesh Modeling
[
Slides]
In-Person Oral presentation / top 5% paper
Wed May 03 06:10 AM -- 06:20 AM (PDT) @ AD1 None
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
In-Person Oral presentation / top 25% paper
Wed May 03 06:10 AM -- 06:20 AM (PDT) @ Auditorium None
Parametrizing Product Shape Manifolds by Composite Networks
In-Person Oral presentation / top 5% paper
Wed May 03 06:10 AM -- 06:20 AM (PDT) @ AD11 None
Betty: An Automatic Differentiation Library for Multilevel Optimization
In-Person Oral presentation / top 5% paper
Wed May 03 06:10 AM -- 06:20 AM (PDT) @ AD12 None
What learning algorithm is in-context learning? Investigations with linear models
In-Person Oral presentation / top 5% paper
Wed May 03 06:10 AM -- 06:20 AM (PDT) @ AD4 None
A Kernel Perspective of Skip Connections in Convolutional Networks
In-Person Oral presentation / top 5% paper
Wed May 03 06:20 AM -- 06:30 AM (PDT) @ AD10 None
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
In-Person Oral presentation / top 5% paper
Wed May 03 06:20 AM -- 06:30 AM (PDT) @ AD12 None
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
In-Person Oral presentation / top 5% paper
Wed May 03 06:20 AM -- 06:30 AM (PDT) @ AD11 None
WikiWhy: Answering and Explaining Cause-and-Effect Questions
[
Slides]
In-Person Oral presentation / top 25% paper
Wed May 03 06:20 AM -- 06:30 AM (PDT) @ Auditorium None
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
In-Person Oral presentation / top 5% paper
Wed May 03 06:20 AM -- 06:30 AM (PDT) @ AD1 None
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
In-Person Oral presentation / top 5% paper
Wed May 03 06:20 AM -- 06:30 AM (PDT) @ AD4 None
ReAct: Synergizing Reasoning and Acting in Language Models
In-Person Oral presentation / top 5% paper
Wed May 03 06:30 AM -- 06:40 AM (PDT) @ AD10 None
AutoGT: Automated Graph Transformer Architecture Search
In-Person Oral presentation / top 5% paper
Wed May 03 06:30 AM -- 06:40 AM (PDT) @ AD12 None
Encoding Recurrence into Transformers
In-Person Oral presentation / top 25% paper
Wed May 03 06:30 AM -- 06:40 AM (PDT) @ AD11 None
MEDFAIR: Benchmarking Fairness for Medical Imaging
In-Person Oral presentation / top 5% paper
Wed May 03 06:30 AM -- 06:40 AM (PDT) @ AD1 None
Statistical Efficiency of Score Matching: The View from Isoperimetry
In-Person Oral presentation / top 25% paper
Wed May 03 06:30 AM -- 06:40 AM (PDT) @ Auditorium None
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
In-Person Oral presentation / top 25% paper
Wed May 03 06:30 AM -- 06:40 AM (PDT) @ AD4 None
A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
In-Person Oral presentation / top 25% paper
Wed May 03 06:40 AM -- 06:50 AM (PDT) @ AD10 None
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
In-Person Oral presentation / top 5% paper
Wed May 03 06:40 AM -- 06:50 AM (PDT) @ AD12 None
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
In-Person Oral presentation / top 25% paper
Wed May 03 06:40 AM -- 06:50 AM (PDT) @ Auditorium None
Dual Algorithmic Reasoning
In-Person Oral presentation / top 25% paper
Wed May 03 06:40 AM -- 06:50 AM (PDT) @ AD1 None
Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation
In-Person Oral presentation / top 25% paper
Wed May 03 06:40 AM -- 06:50 AM (PDT) @ AD11 None
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
In-Person Oral presentation / top 25% paper
Wed May 03 06:40 AM -- 06:50 AM (PDT) @ AD4 None
Packed Ensembles for efficient uncertainty estimation
In-Person Oral presentation / top 25% paper
Wed May 03 06:50 AM -- 07:00 AM (PDT) @ AD10 None
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
In-Person Oral presentation / top 5% paper
Wed May 03 06:50 AM -- 07:00 AM (PDT) @ AD11 None
Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
In-Person Oral presentation / top 25% paper
Wed May 03 06:50 AM -- 07:00 AM (PDT) @ AD1 None
Depth Separation with Multilayer Mean-Field Networks
In-Person Oral presentation / top 5% paper
Wed May 03 06:50 AM -- 07:00 AM (PDT) @ AD12 None
Simplified State Space Layers for Sequence Modeling
In-Person Oral presentation / top 25% paper
Wed May 03 06:50 AM -- 07:00 AM (PDT) @ Auditorium None
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
In-Person Oral presentation / top 25% paper
Wed May 03 07:00 AM -- 07:10 AM (PDT) @ AD10 None
Certified Training: Small Boxes are All You Need
In-Person Oral presentation / top 25% paper
Wed May 03 07:00 AM -- 07:10 AM (PDT) @ AD12 None
Relational Attention: Generalizing Transformers for Graph-Structured Tasks
In-Person Oral presentation / top 25% paper
Wed May 03 07:00 AM -- 07:10 AM (PDT) @ AD11 None
Disparate Impact in Differential Privacy from Gradient Misalignment
In-Person Oral presentation / top 25% paper
Wed May 03 07:00 AM -- 07:10 AM (PDT) @ AD1 None
Learning with Stochastic Orders
[
Slides]
In-Person Oral presentation / top 25% paper
Wed May 03 07:00 AM -- 07:10 AM (PDT) @ Auditorium None
Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning
In-Person Oral presentation / top 25% paper
Wed May 03 07:10 AM -- 07:20 AM (PDT) @ AD10 None
Inequality phenomenon in $l_{\infty}$-adversarial training, and its unrealized threats
In-Person Oral presentation / top 5% paper
Wed May 03 07:10 AM -- 07:20 AM (PDT) @ AD12 None
Sparse Mixture-of-Experts are Domain Generalizable Learners
In-Person Oral presentation / top 25% paper
Wed May 03 07:10 AM -- 07:20 AM (PDT) @ Auditorium None
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
In-Person Oral presentation / top 25% paper
Wed May 03 07:10 AM -- 07:20 AM (PDT) @ AD1 None
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #38
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #57
Binding Language Models in Symbolic Languages
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #37
WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #56
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #169
ReAct: Synergizing Reasoning and Acting in Language Models
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #36
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences
[
JMLR]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #55
Automating Nearest Neighbor Search Configuration with Constrained Optimization
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #31
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations
[
JMLR]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #35
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #54
CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #34
GOOD: Exploring geometric cues for detecting objects in an open world
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #53
Short-Term Memory Convolutions
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #33
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #52
Diagnosing and Rectifying Vision Models using Language
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #32
Real-Time Image Demoir$\acute{e}$ing on Mobile Devices
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #51
Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #50
Is Attention All That NeRF Needs?
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #30
Consolidator: Mergable Adapter with Group Connections for Visual Adaptation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #49
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #29
Learning Uncertainty for Unknown Domains with Zero-Target-Assumption
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #48
Offline RL for Natural Language Generation with Implicit Language Q Learning
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #28
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #47
Language Modelling with Pixels
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #27
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #167
A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #26
Reversible Column Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #45
Compositionality with Variation Reliably Emerges in Neural Networks
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #122
AutoGT: Automated Graph Transformer Architecture Search
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #25
Equivariance-aware Architectural Optimization of Neural Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #44
Semi-Parametric Inducing Point Networks and Neural Processes
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #24
Relational Attention: Generalizing Transformers for Graph-Structured Tasks
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #43
Parametrizing Product Shape Manifolds by Composite Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #23
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #42
PowerQuant: Automorphism Search for Non-Uniform Quantization
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #22
Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #41
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #21
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #20
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #39
Dual Algorithmic Reasoning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #58
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #77
MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #59
Composing Ensembles of Pre-trained Models via Iterative Consensus
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #78
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #60
$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #79
Encoding Recurrence into Transformers
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #61
Agree to Disagree: Diversity through Disagreement for Better Transferability
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #80
Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #62
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #81
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #63
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #82
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #64
Verifying the Union of Manifolds Hypothesis for Image Data
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #83
Unveiling the sampling density in non-uniform geometric graphs
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #65
Geometrically regularized autoencoders for non-Euclidean data
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #84
Simplified State Space Layers for Sequence Modeling
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #66
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #85
Write and Paint: Generative Vision-Language Models are Unified Modal Learners
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #67
$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #86
A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #151
Packed Ensembles for efficient uncertainty estimation
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #68
What learning algorithm is in-context learning? Investigations with linear models
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #87
Part-Based Models Improve Adversarial Robustness
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #69
Effectively Modeling Time Series with Simple Discrete State Spaces
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #88
Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #46
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #70
Understanding the Covariance Structure of Convolutional Filters
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #89
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #71
Hyperparameter Optimization through Neural Network Partitioning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #90
ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #168
Unsupervised Model Selection for Time Series Anomaly Detection
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #72
Bridging the Gap to Real-World Object-Centric Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #91
Disentanglement of Correlated Factors via Hausdorff Factorized Support
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #73
EquiMod: An Equivariance Module to Improve Visual Instance Discrimination
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #92
When to Make and Break Commitments?
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #74
Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #93
A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #75
Blurring Diffusion Models
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #94
Neural Implicit Shape Editing using Boundary Sensitivity
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #76
Efficient Federated Domain Translation
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #161
MeshDiffusion: Score-based Generative 3D Mesh Modeling
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #95
Betty: An Automatic Differentiation Library for Multilevel Optimization
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #114
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #133
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #113
WikiWhy: Answering and Explaining Cause-and-Effect Questions
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #132
DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #112
Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #131
Multiple sequence alignment as a sequence-to-sequence learning problem
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #111
Context-enriched molecule representations improve few-shot drug discovery
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #130
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #110
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #129
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #109
Solving stochastic weak Minty variational inequalities without increasing batch size
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #128
Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #108
Fast Nonlinear Vector Quantile Regression
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #127
Meta Temporal Point Processes
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #107
Riemannian Metric Learning via Optimal Transport
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #126
Evolving Populations of Diverse RL Agents with MAP-Elites
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #106
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #125
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #105
Scaling Laws for a Multi-Agent Reinforcement Learning Model
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #124
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #104
Impossibly Good Experts and How to Follow Them
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #123
Reward Design with Language Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #103
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #102
Visual Imitation Learning with Patch Rewards
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #101
Backstepping Temporal Difference Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #120
Expressive Monotonic Neural Networks
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #100
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #119
Certified Training: Small Boxes are All You Need
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #99
Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #118
MEDFAIR: Benchmarking Fairness for Medical Imaging
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #98
Inequality phenomenon in $l_{\infty}$-adversarial training, and its unrealized threats
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #117
Disparate Impact in Differential Privacy from Gradient Misalignment
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #97
Causal Confusion and Reward Misidentification in Preference-Based Reward Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #116
Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #96
Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #148
Label-free Concept Bottleneck Models
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #115
On The Specialization of Neural Modules
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #134
Depth Separation with Multilayer Mean-Field Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #153
Pitfalls of Gaussians as a noise distribution in NCE
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #135
Near-optimal Coresets for Robust Clustering
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #154
Towards convergence to Nash equilibria in two-team zero-sum games
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #136
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #155
Robust Algorithms on Adaptive Inputs from Bounded Adversaries
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #137
A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #156
Variance-Aware Sparse Linear Bandits
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #138
Strong inductive biases provably prevent harmless interpolation
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #157
Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #139
Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #158
Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #140
Statistical Efficiency of Score Matching: The View from Isoperimetry
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #159
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #141
Learning in temporally structured environments
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 25% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #160
Learning with Stochastic Orders
[
Slides]
[
Poster]
[
OpenReview]
In-Person Poster presentation / top 5% paper
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #150
A Kernel Perspective of Skip Connections in Convolutional Networks
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #143
DAVA: Disentangling Adversarial Variational Autoencoder
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #162
Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #144
Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #163
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #145
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #164
A Message Passing Perspective on Learning Dynamics of Contrastive Learning
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #165
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #147
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild
[
Poster]
[
OpenReview]
In-Person Poster presentation / poster accept
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1-2-3-4 #166
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders
[
Poster]
[
OpenReview]
Session
Wed May 03 07:30 AM -- 09:30 AM (PDT) @ MH1+2+3+4 None
Poster Session 6
Registration Desk
Wed May 03 10:00 PM -- 09:00 AM (PDT) None
Registration / Check-in
Affinity Workshop
Wed May 03 11:20 PM -- 09:00 AM (PDT) @ MH2 None
Joint IndabaXRwanda / BlackInAI
Affinity Workshop
Wed May 03 11:30 PM -- 08:00 AM (PDT) @ MH3 None
Kaggle@ICLR 2023: ML Solutions in Africa
Workshop
Wed May 03 11:45 PM -- 08:30 AM (PDT) @ AD12 None
Trustworthy and Reliable Large-Scale Machine Learning Models
Workshop
Thu May 04 12:00 AM -- 09:00 AM (PDT) @ AD4 None
AI for Agent-Based Modelling (AI4ABM)
Workshop
Thu May 04 12:00 AM -- 09:45 AM (PDT) @ Auditorium None
Tackling Climate Change with Machine Learning: Global Perspectives and Local Challenges
Workshop
Thu May 04 12:00 AM -- 08:00 AM (PDT) @ Virtual None
Trustworthy Machine Learning for Healthcare
Workshop
Thu May 04 12:00 AM -- 08:00 AM (PDT) @ AD1 None
Reincarnating Reinforcement Learning
Workshop
Thu May 04 12:00 AM -- 09:00 AM (PDT) @ MH1 None
Physics for Machine Learning
Workshop
Thu May 04 12:15 AM -- 07:45 AM (PDT) @ AD10 None
Mathematical and Empirical Understanding of Foundation Models (ME-FoMo)
Break
Thu May 04 12:30 AM -- 01:00 AM (PDT) None
Coffee Break
Workshop
Thu May 04 12:40 AM -- 09:05 AM (PDT) @ MH4 None
Neural Fields across Fields: Methods and Applications of Implicit Neural Representations
Workshop
Thu May 04 01:00 AM -- 10:00 AM (PDT) @ AD11 None
Neurosymbolic Generative Models (NeSy-GeMs)
Workshop
Thu May 04 01:00 AM -- 09:40 AM (PDT) @ Virtual None
What do we need for successful domain generalization?
Break
Thu May 04 03:00 AM -- 04:30 AM (PDT) None
Lunch
Break
Thu May 04 05:30 AM -- 06:00 AM (PDT) None
Coffee Break
Workshop
Thu May 04 06:00 AM -- 03:00 PM (PDT) @ Virtual None
From Molecules to Materials: ICLR 2023 Workshop on Machine learning for materials (ML4Materials)
Registration Desk
Thu May 04 10:00 PM -- 03:00 AM (PDT) None
Registration / Check-in
Workshop
Thu May 04 11:50 PM -- 08:30 AM (PDT) @ AD1 None
Scene Representations for Autonomous Driving
Affinity Workshop
Fri May 05 12:00 AM -- 08:00 AM (PDT) @ MH4 None
Tiny Papers Showcase Day (a DEI initiative)
Workshop
Fri May 05 12:00 AM -- 08:00 AM (PDT) @ MH1 None
The 4th Workshop on practical ML for Developing Countries: learning under limited/low resource settings
Workshop
Fri May 05 12:00 AM -- 09:00 AM (PDT) @ Virtual None
Multimodal Representation Learning (MRL): Perks and Pitfalls
Workshop
Fri May 05 12:00 AM -- 09:00 AM (PDT) @ MH2 None
Pitfalls of limited data and computation for Trustworthy ML
Workshop
Fri May 05 12:00 AM -- 08:30 AM (PDT) @ MH3 None
ICLR 2023 Workshop on Machine Learning for Remote Sensing
Workshop
Fri May 05 12:00 AM -- 10:00 AM (PDT) @ AD12 None
ICLR 2023 Workshop on Sparsity in Neural Networks: On practical limitations and tradeoffs between sustainability and efficiency
Workshop
Fri May 05 12:00 AM -- 08:00 AM (PDT) @ AD10 None
First workshop on "Machine Learning & Global Health".
Break
Fri May 05 12:30 AM -- 01:00 AM (PDT) None
Coffee Break
Workshop
Fri May 05 01:00 AM -- 10:00 AM (PDT) @ Auditorium None
4th Workshop on African Natural Language Processing (AfricaNLP 2023)
Workshop
Fri May 05 01:10 AM -- 10:00 AM (PDT) @ Virtual None
Time Series Representation Learning for Health
Workshop
Fri May 05 02:00 AM -- 11:00 AM (PDT) @ Virtual None
Machine Learning for Drug Discovery (MLDD)
Break
Fri May 05 03:00 AM -- 04:30 AM (PDT) None
Lunch
Break
Fri May 05 05:30 AM -- 06:00 AM (PDT) None
Coffee Break
Workshop
Fri May 05 05:30 AM -- 02:00 PM (PDT) @ Virtual None
Deep Learning for Code (DL4C)
Workshop
Fri May 05 05:30 AM -- 02:30 PM (PDT) @ Virtual None
Machine Learning for IoT: Datasets, Perception, and Understanding
Workshop
Fri May 05 06:00 AM -- 03:05 PM (PDT) @ Virtual None
Backdoor Attacks and Defenses in Machine Learning