Toggle Poster Visibility
Remarks
Mon Apr 25 12:00 AM -- 12:55 AM (PDT)
Opening Remarks
Invited Talk
Mon Apr 25 01:00 AM -- 02:15 AM (PDT)
Leveraging AI for Science
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Topological Graph Neural Networks
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Adversarial Retriever-Ranker for Dense Text Retrieval
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Imbedding Deep Neural Networks
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Scale Mixtures of Neural Network Gaussian Processes
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Learning to Generalize across Domains on Single Test Samples
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
The Role of Pretrained Representations for the OOD Generalization of RL Agents
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
8-bit Optimizers via Block-wise Quantization
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Efficient Neural Causal Discovery without Acyclicity Constraints
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Non-Parallel Text Style Transfer with Self-Parallel Supervision
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Boosted Curriculum Reinforcement Learning
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
High Probability Generalization Bounds with Fast Rates for Minimax Problems
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Signing the Supermask: Keep, Hide, Invert
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Constrained Policy Optimization via Bayesian World Models
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Steerable Partial Differential Operators for Equivariant Neural Networks
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
End-to-End Learning of Probabilistic Hierarchies on Graphs
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Progressive Distillation for Fast Sampling of Diffusion Models
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Bootstrapping Semantic Segmentation with Regional Contrast
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Top-label calibration and multiclass-to-binary reductions
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
IntSGD: Adaptive Floatless Compression of Stochastic Gradients
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Collapse by Conditioning: Training Class-conditional GANs with Limited Data
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Sample and Computation Redistribution for Efficient Face Detection
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
On Incorporating Inductive Biases into VAEs
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Perceiver IO: A General Architecture for Structured Inputs & Outputs
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Goal-Directed Planning via Hindsight Experience Replay
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Generative Modeling with Optimal Transport Maps
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
A Fine-Grained Analysis on Distribution Shift
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Memory Replay with Data Compression for Continual Learning
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Bayesian Neural Network Priors Revisited
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
On the Existence of Universal Lottery Tickets
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Learning Synthetic Environments and Reward Networks for Reinforcement Learning
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Unsupervised Disentanglement with Tensor Product Representations on the Torus
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Generalisation in Lifelong Reinforcement Learning through Logical Composition
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Stability Regularization for Discrete Representation Learning
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Random matrices in service of ML footprint: ternary random features with no performance loss
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Graph-based Nearest Neighbor Search in Hyperbolic Spaces
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Joint Shapley values: a measure of joint feature importance
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Autoregressive Diffusion Models
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Variational Neural Cellular Automata
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Spanning Tree-based Graph Generation for Molecules
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Boosting the Certified Robustness of L-infinity Distance Nets
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Hierarchical Variational Memory for Few-shot Learning Across Domains
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning Temporally Causal Latent Processes from General Temporal Data
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Hybrid Local SGD for Federated Learning with Heterogeneous Communications
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Learning Long-Term Reward Redistribution via Randomized Return Decomposition
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Anytime Dense Prediction with Confidence Adaptivity
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
The Three Stages of Learning Dynamics in High-dimensional Kernel Methods
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Training Structured Neural Networks Through Manifold Identification and Variance Reduction
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Evidential Turing Processes
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Spotlight
Mon Apr 25 02:30 AM (PDT)
Progressive Distillation for Fast Sampling of Diffusion Models
[
OpenReview]
Spotlight
Mon Apr 25 02:30 AM (PDT)
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
[
OpenReview]
Spotlight
Mon Apr 25 02:30 AM (PDT)
Hybrid Local SGD for Federated Learning with Heterogeneous Communications
[
OpenReview]
Spotlight
Mon Apr 25 02:30 AM (PDT)
Learning Long-Term Reward Redistribution via Randomized Return Decomposition
[
OpenReview]
Spotlight
Mon Apr 25 02:30 AM (PDT)
IntSGD: Adaptive Floatless Compression of Stochastic Gradients
[
OpenReview]
Spotlight
Mon Apr 25 02:30 AM (PDT)
Constrained Policy Optimization via Bayesian World Models
[
OpenReview]
Spotlight
Mon Apr 25 02:30 AM (PDT)
Perceiver IO: A General Architecture for Structured Inputs & Outputs
[
OpenReview]
Spotlight
Mon Apr 25 02:30 AM (PDT)
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
[
OpenReview]
Spotlight
Mon Apr 25 02:30 AM (PDT)
Spanning Tree-based Graph Generation for Molecules
[
OpenReview]
Invited Talk
Mon Apr 25 09:00 AM -- 10:15 AM (PDT)
Beyond interpretability: developing a language to shape our relationships with AI
[thumb]
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Incremental False Negative Detection for Contrastive Learning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
EigenGame Unloaded: When playing games is better than optimizing
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Illiterate DALL-E Learns to Compose
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Gradient Importance Learning for Incomplete Observations
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Spherical Message Passing for 3D Molecular Graphs
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Should I Run Offline Reinforcement Learning or Behavioral Cloning?
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Critical Points in Quantum Generative Models
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Graph Condensation for Graph Neural Networks
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Deep AutoAugment
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Language-driven Semantic Segmentation
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Scalable Sampling for Nonsymmetric Determinantal Point Processes
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Quadtree Attention for Vision Transformers
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Network Augmentation for Tiny Deep Learning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Continuous-Time Meta-Learning with Forward Mode Differentiation
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Noisy Feature Mixup
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Optimizer Amalgamation
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Sound and Complete Neural Network Repair with Minimality and Locality Guarantees
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Learning Transferable Reward for Query Object Localization with Policy Adaptation
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Contextualized Scene Imagination for Generative Commonsense Reasoning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Chemical-Reaction-Aware Molecule Representation Learning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Information-theoretic Online Memory Selection for Continual Learning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
How Much Can CLIP Benefit Vision-and-Language Tasks?
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Modular Lifelong Reinforcement Learning via Neural Composition
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Visual Correspondence Hallucination
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Effect of scale on catastrophic forgetting in neural networks
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
PAC Prediction Sets Under Covariate Shift
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Privacy Implications of Shuffling
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Toward Faithful Case-based Reasoning through Learning Prototypes in a Nearest Neighbor-friendly Space.
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Efficient Self-supervised Vision Transformers for Representation Learning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak Models
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Towards Empirical Sandwich Bounds on the Rate-Distortion Function
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
$\mathrm{SO}(2)$-Equivariant Reinforcement Learning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
RegionViT: Regional-to-Local Attention for Vision Transformers
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Igeood: An Information Geometry Approach to Out-of-Distribution Detection
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Efficiently Modeling Long Sequences with Structured State Spaces
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Stochastic Training is Not Necessary for Generalization
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Fast AdvProp
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
On Predicting Generalization using GANs
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
FairCal: Fairness Calibration for Face Verification
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
How to deal with missing data in supervised deep learning?
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Adversarial Support Alignment
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Hierarchical Few-Shot Imitation with Skill Transition Models
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Exploring the Limits of Large Scale Pre-training
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
A Generalized Weighted Optimization Method for Computational Learning and Inversion
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Coordination Among Neural Modules Through a Shared Global Workspace
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
The Spectral Bias of Polynomial Neural Networks
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Real-Time Neural Voice Camouflage
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Fast topological clustering with Wasserstein distance
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Controlling Directions Orthogonal to a Classifier
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Revisiting Design Choices in Offline Model Based Reinforcement Learning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
An Experimental Design Perspective on Model-Based Reinforcement Learning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Fair Normalizing Flows
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Distributional Reinforcement Learning with Monotonic Splines
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Anisotropic Random Feature Regression in High Dimensions
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Mapping Language Models to Grounded Conceptual Spaces
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Sqrt(d) Dimension Dependence of Langevin Monte Carlo
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Learning by Directional Gradient Descent
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
DEGREE: Decomposition Based Explanation for Graph Neural Networks
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Fast Model Editing at Scale
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Actor-critic is implicitly biased towards high entropy optimal policies
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Continual Learning with Filter Atom Swapping
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
DictFormer: Tiny Transformer with Shared Dictionary
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Vision-Based Manipulators Need to Also See from Their Hands
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Learning to Guide and to be Guided in the Architect-Builder Problem
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Environment Predictive Coding for Visual Navigation
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Hyperparameter Tuning with Renyi Differential Privacy
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Offline Reinforcement Learning with Implicit Q-Learning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Auto-Transfer: Learning to Route Transferable Representations
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT) @ Virtual
Understanding Intrinsic Robustness Using Label Uncertainty
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Salient ImageNet: How to discover spurious features in Deep Learning?
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Relating transformers to models and neural representations of the hippocampal formation
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Neural Relational Inference with Node-Specific Information
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Group-based Interleaved Pipeline Parallelism for Large-scale DNN Training
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning
Poster
Mon Apr 25 10:30 AM -- 12:30 PM (PDT)
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Spotlight
Mon Apr 25 10:30 AM (PDT)
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
[
OpenReview]
Spotlight
Mon Apr 25 10:30 AM (PDT)
Scalable Sampling for Nonsymmetric Determinantal Point Processes
[
OpenReview]
Spotlight
Mon Apr 25 10:30 AM (PDT)
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
[
OpenReview]
Spotlight
Mon Apr 25 10:30 AM (PDT)
$\mathrm{SO}(2)$-Equivariant Reinforcement Learning
[
OpenReview]
Spotlight
Mon Apr 25 10:30 AM (PDT)
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks
[
OpenReview]
Spotlight
Mon Apr 25 10:30 AM (PDT)
Revisiting Design Choices in Offline Model Based Reinforcement Learning
[
OpenReview]
Spotlight
Mon Apr 25 10:30 AM (PDT)
Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak Models
[
OpenReview]
Spotlight
Mon Apr 25 10:30 AM (PDT)
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
[
OpenReview]
Spotlight
Mon Apr 25 10:30 AM (PDT)
Continuous-Time Meta-Learning with Forward Mode Differentiation
[
OpenReview]
Spotlight
Mon Apr 25 10:30 AM (PDT)
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
[
OpenReview]
Spotlight
Mon Apr 25 10:30 AM (PDT)
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
[
OpenReview]
Spotlight
Mon Apr 25 10:30 AM (PDT)
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations
[
OpenReview]
Spotlight
Mon Apr 25 10:30 AM (PDT)
Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption
[
OpenReview]
Affinity Social
Mon Apr 25 12:00 PM -- 04:59 PM (PDT) @ Virtual
LatinX in AI (LXAI) Social @ ICLR 2022
[
Slides]
[
GatherTown]
Affinity Social
Mon Apr 25 12:00 PM -- 02:00 PM (PDT)
WiML Virtual Social
Oral
Mon Apr 25 05:00 PM -- 05:15 PM (PDT)
Hyperparameter Tuning with Renyi Differential Privacy
[
OpenReview]
Oral
Mon Apr 25 05:15 PM -- 05:30 PM (PDT)
PiCO: Contrastive Label Disambiguation for Partial Label Learning
[
OpenReview]
Oral
Mon Apr 25 05:15 PM -- 05:30 PM (PDT)
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling
[
OpenReview]
Oral
Mon Apr 25 05:30 PM -- 05:45 PM (PDT)
Poisoning and Backdooring Contrastive Learning
[
OpenReview]
Oral
Mon Apr 25 05:45 PM -- 06:00 PM (PDT)
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
[
OpenReview]
Oral
Mon Apr 25 05:45 PM -- 06:00 PM (PDT)
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
[
OpenReview]
Oral
Mon Apr 25 06:00 PM -- 06:15 PM (PDT)
The Information Geometry of Unsupervised Reinforcement Learning
[
OpenReview]
Oral
Mon Apr 25 06:00 PM -- 06:15 PM (PDT)
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
[
OpenReview]
Oral
Mon Apr 25 06:15 PM -- 06:30 PM (PDT)
Vision-Based Manipulators Need to Also See from Their Hands
[
OpenReview]
Oral
Mon Apr 25 06:15 PM -- 06:30 PM (PDT)
Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics
[
OpenReview]
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Self-Supervision Enhanced Feature Selection with Correlated Gates
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Variational oracle guiding for reinforcement learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Effective Model Sparsification by Scheduled Grow-and-Prune Methods
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
The Close Relationship Between Contrastive Learning and Meta-Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
FastSHAP: Real-Time Shapley Value Estimation
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Towards Continual Knowledge Learning of Language Models
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Weighted Training for Cross-Task Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Neural Processes with Stochastic Attention: Paying more attention to the context dataset
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
MoReL: Multi-omics Relational Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Path Integral Sampler: A Stochastic Control Approach For Sampling
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
On the Learning and Learnability of Quasimetrics
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Surreal-GAN:Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
What Do We Mean by Generalization in Federated Learning?
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Training invariances and the low-rank phenomenon: beyond linear networks
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Representational Continuity for Unsupervised Continual Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Task Relatedness-Based Generalization Bounds for Meta Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Emergent Communication at Scale
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Equivariant Transformers for Neural Network based Molecular Potentials
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Generative Models as a Data Source for Multiview Representation Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Automated Self-Supervised Learning for Graphs
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Safe Neurosymbolic Learning with Differentiable Symbolic Execution
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
ViTGAN: Training GANs with Vision Transformers
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Fast Generic Interaction Detection for Model Interpretability and Compression
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Focus on the Common Good: Group Distributional Robustness Follows
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
GNN is a Counter? Revisiting GNN for Question Answering
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Taming Sparsely Activated Transformer with Stochastic Experts
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
On Non-Random Missing Labels in Semi-Supervised Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Conditional Image Generation by Conditioning Variational Auto-Encoders
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Generalized Decision Transformer for Offline Hindsight Information Matching
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Compositional Training for End-to-End Deep AUC Maximization
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
FedBABU: Toward Enhanced Representation for Federated Image Classification
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
An Information Fusion Approach to Learning with Instance-Dependent Label Noise
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Efficient and Differentiable Conformal Prediction with General Function Classes
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
On Robust Prefix-Tuning for Text Classification
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Regularized Autoencoders for Isometric Representation Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Language modeling via stochastic processes
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
An Unconstrained Layer-Peeled Perspective on Neural Collapse
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Towards Evaluating the Robustness of Neural Networks Learned by Transduction
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Hot-Refresh Model Upgrades with Regression-Free Compatible Training in Image Retrieval
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
BiBERT: Accurate Fully Binarized BERT
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Probabilistic Implicit Scene Completion
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Online Coreset Selection for Rehearsal-based Continual Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
On Evaluation Metrics for Graph Generative Models
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Data-Efficient Graph Grammar Learning for Molecular Generation
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Rethinking Adversarial Transferability from a Data Distribution Perspective
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Unsupervised Discovery of Object Radiance Fields
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
ViDT: An Efficient and Effective Fully Transformer-based Object Detector
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Neural Models for Output-Space Invariance in Combinatorial Problems
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Trigger Hunting with a Topological Prior for Trojan Detection
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Objects in Semantic Topology
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Geometric Transformers for Protein Interface Contact Prediction
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Neural Contextual Bandits with Deep Representation and Shallow Exploration
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
GreaseLM: Graph REASoning Enhanced Language Models
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Target-Side Input Augmentation for Sequence to Sequence Generation
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Understanding the Role of Self Attention for Efficient Speech Recognition
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Neural Program Synthesis with Query
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Continual Learning with Recursive Gradient Optimization
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Decoupled Adaptation for Cross-Domain Object Detection
Spotlight
Mon Apr 25 06:30 PM (PDT)
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
[
OpenReview]
Spotlight
Mon Apr 25 06:30 PM (PDT)
Task Relatedness-Based Generalization Bounds for Meta Learning
[
OpenReview]
Spotlight
Mon Apr 25 06:30 PM (PDT)
GreaseLM: Graph REASoning Enhanced Language Models
[
OpenReview]
Spotlight
Mon Apr 25 06:30 PM (PDT)
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
[
OpenReview]
Spotlight
Mon Apr 25 06:30 PM (PDT)
Self-Supervision Enhanced Feature Selection with Correlated Gates
[
OpenReview]
Spotlight
Mon Apr 25 06:30 PM (PDT)
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
[
OpenReview]
Spotlight
Mon Apr 25 06:30 PM (PDT)
Training invariances and the low-rank phenomenon: beyond linear networks
Spotlight
Mon Apr 25 06:30 PM (PDT)
Continual Learning with Recursive Gradient Optimization
[
OpenReview]
Spotlight
Mon Apr 25 06:30 PM (PDT)
Compositional Training for End-to-End Deep AUC Maximization
[
OpenReview]
Spotlight
Mon Apr 25 06:30 PM (PDT)
Generalized Decision Transformer for Offline Hindsight Information Matching
[
OpenReview]
Spotlight
Mon Apr 25 06:30 PM (PDT)
Understanding the Role of Self Attention for Efficient Speech Recognition
[
OpenReview]
Spotlight
Mon Apr 25 06:30 PM (PDT)
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
[
OpenReview]
Spotlight
Mon Apr 25 06:30 PM (PDT)
Equivariant Transformers for Neural Network based Molecular Potentials
[
OpenReview]
Spotlight
Mon Apr 25 06:30 PM (PDT)
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
[
OpenReview]
Spotlight
Mon Apr 25 06:30 PM (PDT)
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
[
OpenReview]
Affinity Social
Mon Apr 25 08:00 PM -- 09:00 PM & Tue Apr 26 12:00 PM -- 01:00 PM (PDT) @ https://forms.gle/UdtmhoVCf8SB5sEVA
Queer in AI Social @ ICLR 2022
Oral
Tue Apr 26 01:00 AM -- 01:15 AM (PDT)
Understanding over-squashing and bottlenecks on graphs via curvature
[
OpenReview]
Oral
Tue Apr 26 01:00 AM -- 01:15 AM (PDT)
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space
[
OpenReview]
Oral
Tue Apr 26 01:00 AM -- 01:15 AM (PDT)
Expressiveness and Approximation Properties of Graph Neural Networks
[
OpenReview]
Oral
Tue Apr 26 01:15 AM -- 01:30 AM (PDT)
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
[
OpenReview]
Oral
Tue Apr 26 01:15 AM -- 01:30 AM (PDT)
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
[
OpenReview]
Oral
Tue Apr 26 01:15 AM -- 01:30 AM (PDT)
Efficiently Modeling Long Sequences with Structured State Spaces
[
OpenReview]
Oral
Tue Apr 26 01:30 AM -- 01:45 AM (PDT)
Data-Efficient Graph Grammar Learning for Molecular Generation
[
OpenReview]
Oral
Tue Apr 26 01:30 AM -- 01:45 AM (PDT)
Learning Strides in Convolutional Neural Networks
[
OpenReview]
Oral
Tue Apr 26 01:30 AM -- 01:45 AM (PDT)
Neural Structured Prediction for Inductive Node Classification
[
OpenReview]
Oral
Tue Apr 26 01:45 AM -- 02:00 AM (PDT)
A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?"
[
OpenReview]
Oral
Tue Apr 26 01:45 AM -- 02:00 AM (PDT)
The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions
[
OpenReview]
Oral
Tue Apr 26 01:45 AM -- 02:00 AM (PDT)
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data
[
OpenReview]
Oral
Tue Apr 26 02:00 AM -- 02:15 AM (PDT)
CycleMLP: A MLP-like Architecture for Dense Prediction
[
OpenReview]
Oral
Tue Apr 26 02:00 AM -- 02:15 AM (PDT)
Einops: Clear and Reliable Tensor Manipulations with Einstein-like Notation
[
OpenReview]
Oral
Tue Apr 26 02:00 AM -- 02:15 AM (PDT)
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
[
OpenReview]
Oral
Tue Apr 26 02:15 AM -- 02:30 AM (PDT)
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion
[
OpenReview]
Oral
Tue Apr 26 02:15 AM -- 02:30 AM (PDT)
DISCOVERING AND EXPLAINING THE REPRESENTATION BOTTLENECK OF DNNS
[
OpenReview]
Oral
Tue Apr 26 02:15 AM -- 02:30 AM (PDT)
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
[
OpenReview]
Oral
Tue Apr 26 02:30 AM -- 02:45 AM (PDT)
Representational Continuity for Unsupervised Continual Learning
[
OpenReview]
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Phase Collapse in Neural Networks
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Label-Efficient Semantic Segmentation with Diffusion Models
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Fooling Explanations in Text Classifiers
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Transformers Can Do Bayesian Inference
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Enabling Arbitrary Translation Objectives with Adaptive Tree Search
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Do We Need Anisotropic Graph Neural Networks?
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Program to Build E(N)-Equivariant Steerable CNNs
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Self-Supervised Inference in State-Space Models
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
On the Connection between Local Attention and Dynamic Depth-wise Convolution
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Generative Principal Component Analysis
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Strides in Convolutional Neural Networks
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning meta-features for AutoML
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Divergence-aware Federated Self-Supervised Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
VAE Approximation Error: ELBO and Exponential Families
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
A generalization of the randomized singular value decomposition
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Rethinking Supervised Pre-Training for Better Downstream Transferring
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Sound Adversarial Audio-Visual Navigation
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Handling Distribution Shifts on Graphs: An Invariance Perspective
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Gradient Step Denoiser for convergent Plug-and-Play
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
On the approximation properties of recurrent encoder-decoder architectures
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning Optimal Conformal Classifiers
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning to Downsample for Segmentation of Ultra-High Resolution Images
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
PiCO: Contrastive Label Disambiguation for Partial Label Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
miniF2F: a cross-system benchmark for formal Olympiad-level mathematics
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
L0-Sparse Canonical Correlation Analysis
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
MAML is a Noisy Contrastive Learner in Classification
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A First-Occupancy Representation for Reinforcement Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Zero Pixel Directional Boundary by Vector Transform
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Imitation Learning by Reinforcement Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Self-ensemble Adversarial Training for Improved Robustness
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
The Evolution of Uncertainty of Learning in Games
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?"
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Relational Learning with Variational Bayes
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Distributionally Robust Models with Parametric Likelihood Ratios
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Revisiting Over-smoothing in BERT from the Perspective of Graph
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
NeuPL: Neural Population Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Augmented Sliced Wasserstein Distances
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Leveraging Automated Unit Tests for Unsupervised Code Translation
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Unrolling PALM for Sparse Semi-Blind Source Separation
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Visual Representation Learning over Latent Domains
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Delaunay Component Analysis for Evaluation of Data Representations
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Top-N: Equivariant Set and Graph Generation without Exchangeability
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Resolving Training Biases via Influence-based Data Relabeling
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Explainable GNN-Based Models over Knowledge Graphs
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Neural Variational Dropout Processes
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Large-Scale Representation Learning on Graphs via Bootstrapping
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
OBJECT DYNAMICS DISTILLATION FOR SCENE DECOMPOSITION AND REPRESENTATION
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Autonomous Learning of Object-Centric Abstractions for High-Level Planning
Spotlight
Tue Apr 26 02:30 AM (PDT)
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks
[
OpenReview]
Spotlight
Tue Apr 26 02:30 AM (PDT)
Revisiting Over-smoothing in BERT from the Perspective of Graph
[
OpenReview]
Spotlight
Tue Apr 26 02:30 AM (PDT)
On the approximation properties of recurrent encoder-decoder architectures
[
OpenReview]
Spotlight
Tue Apr 26 02:30 AM (PDT)
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
[
OpenReview]
Spotlight
Tue Apr 26 02:30 AM (PDT)
VAE Approximation Error: ELBO and Exponential Families
[
OpenReview]
Spotlight
Tue Apr 26 02:30 AM (PDT)
Leveraging Automated Unit Tests for Unsupervised Code Translation
[
OpenReview]
Spotlight
Tue Apr 26 02:30 AM (PDT)
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
[
OpenReview]
Spotlight
Tue Apr 26 02:30 AM (PDT)
On the Connection between Local Attention and Dynamic Depth-wise Convolution
[
OpenReview]
Spotlight
Tue Apr 26 02:30 AM (PDT)
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
[
OpenReview]
Invited Talk
Tue Apr 26 09:00 AM -- 10:15 AM (PDT)
Representation Learning in the Global South: Societal Considerations-Fairness, Safety and Privacy
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
VC dimension of partially quantized neural networks in the overparametrized regime
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Planning in Stochastic Environments with a Learned Model
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Leveraging unlabeled data to predict out-of-distribution performance
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Label Encoding for Regression Networks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Predicting Physics in Mesh-reduced Space with Temporal Attention
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
POETREE: Interpretable Policy Learning with Adaptive Decision Trees
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provably Robust Adversarial Examples
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
BAM: Bayes with Adaptive Memory
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
LOSSY COMPRESSION WITH DISTRIBUTION SHIFT AS ENTROPY CONSTRAINED OPTIMAL TRANSPORT
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Multitask Prompted Training Enables Zero-Shot Task Generalization
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
GradMax: Growing Neural Networks using Gradient Information
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
One After Another: Learning Incremental Skills for a Changing World
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A NON-PARAMETRIC REGRESSION VIEWPOINT : GENERALIZATION OF OVERPARAMETRIZED DEEP RELU NETWORK UNDER NOISY OBSERVATIONS
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Evaluating Distributional Distortion in Neural Language Modeling
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Curriculum learning as a tool to uncover learning principles in the brain
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Granger causal inference on DAGs identifies genomic loci regulating transcription
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Revisiting flow generative models for Out-of-distribution detection
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Feature Kernel Distillation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Differentiable Scaffolding Tree for Molecule Optimization
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Uncomputability of Partition Functions in Energy-Based Sequence Models
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Towards Model Agnostic Federated Learning Using Knowledge Distillation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Synchromesh: Reliable Code Generation from Pre-trained Language Models
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Meta-Learning with Fewer Tasks through Task Interpolation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Selective Ensembles for Consistent Predictions
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Know Your Action Set: Learning Action Relations for Reinforcement Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Transfer RL across Observation Feature Spaces via Model-Based Regularization
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Variational methods for simulation-based inference
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Tighter Sparse Approximation Bounds for ReLU Neural Networks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Subspace Regularizers for Few-Shot Class Incremental Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Expressiveness and Approximation Properties of Graph Neural Networks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Dual Lottery Ticket Hypothesis
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Triangle and Four Cycle Counting with Predictions in Graph Streams
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Improving Non-Autoregressive Translation Models Without Distillation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Is Importance Weighting Incompatible with Interpolating Classifiers?
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provable Adaptation across Multiway Domains via Representation Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Scaling Laws for Neural Machine Translation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Optimizing Neural Networks with Gradient Lexicase Selection
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Efficient Active Search for Combinatorial Optimization Problems
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Role of Neural Collapse in Transfer Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning Value Functions from Undirected State-only Experience
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Discrete Representations Strengthen Vision Transformer Robustness
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Bootstrapped Meta-Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A global convergence theory for deep ReLU implicit networks via over-parameterization
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Fairness Guarantees under Demographic Shift
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
MetaMorph: Learning Universal Controllers with Transformers
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Generalized Kernel Thinning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Shallow and Deep Networks are Near-Optimal Approximators of Korobov Functions
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A Fine-Tuning Approach to Belief State Modeling
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Prototype memory and attention mechanisms for few shot image generation
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
An Explanation of In-context Learning as Implicit Bayesian Inference
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Permutation-Based SGD: Is Random Optimal?
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
The Uncanny Similarity of Recurrence and Depth
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Data-Driven Offline Optimization for Architecting Hardware Accelerators
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Maximizing Ensemble Diversity in Deep Reinforcement Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Interpretable Unsupervised Diversity Denoising and Artefact Removal
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond)
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning Neural Contextual Bandits through Perturbed Rewards
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Stiffness-aware neural network for learning Hamiltonian systems
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Closed-form Sample Probing for Learning Generative Models in Zero-shot Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Online Adversarial Attacks
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
GradSign: Model Performance Inference with Theoretical Insights
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
The MultiBERTs: BERT Reproductions for Robustness Analysis
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Policy Smoothing for Provably Robust Reinforcement Learning
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Policy Gradients Incorporating the Future
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Finetuned Language Models are Zero-Shot Learners
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
Spotlight
Tue Apr 26 10:30 AM (PDT)
Planning in Stochastic Environments with a Learned Model
[
OpenReview]
Spotlight
Tue Apr 26 10:30 AM (PDT)
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
[
OpenReview]
Spotlight
Tue Apr 26 10:30 AM (PDT)
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
[
OpenReview]
Spotlight
Tue Apr 26 10:30 AM (PDT)
The MultiBERTs: BERT Reproductions for Robustness Analysis
[
OpenReview]
Spotlight
Tue Apr 26 10:30 AM (PDT)
On the Uncomputability of Partition Functions in Energy-Based Sequence Models
[
OpenReview]
Spotlight
Tue Apr 26 10:30 AM (PDT)
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework
[
OpenReview]
Spotlight
Tue Apr 26 10:30 AM (PDT)
Interpretable Unsupervised Diversity Denoising and Artefact Removal
[
OpenReview]
Spotlight
Tue Apr 26 10:30 AM (PDT)
Tighter Sparse Approximation Bounds for ReLU Neural Networks
[
OpenReview]
Spotlight
Tue Apr 26 10:30 AM (PDT)
POETREE: Interpretable Policy Learning with Adaptive Decision Trees
[
OpenReview]
Spotlight
Tue Apr 26 10:30 AM (PDT)
Multitask Prompted Training Enables Zero-Shot Task Generalization
[
OpenReview]
Spotlight
Tue Apr 26 10:30 AM (PDT)
Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward
[
OpenReview]
Spotlight
Tue Apr 26 10:30 AM (PDT)
Variational methods for simulation-based inference
[
OpenReview]
Spotlight
Tue Apr 26 10:30 AM (PDT)
Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction
[
OpenReview]
Spotlight
Tue Apr 26 10:30 AM (PDT)
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings
[
OpenReview]
Spotlight
Tue Apr 26 10:30 AM (PDT)
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
[
OpenReview]
Invited Talk
Tue Apr 26 05:00 PM -- 06:15 PM (PDT)
‘Affordances’ for Machine Learning
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Learning Towards The Largest Margins
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Open-World Semi-Supervised Learning
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Recursive Disentanglement Network
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Maximum n-times Coverage for Vaccine Design
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Learning Features with Parameter-Free Layers
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Pareto Policy Pool for Model-based Offline Reinforcement Learning
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Causal Contextual Bandits with Targeted Interventions
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
On feature learning in neural networks with global convergence guarantees
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Training Transition Policies via Distribution Matching for Complex Tasks
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Is Homophily a Necessity for Graph Neural Networks?
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Multi-Mode Deep Matrix and Tensor Factorization
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Disentanglement Analysis with Partial Information Decomposition
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Differentially Private Fine-tuning of Language Models
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Multi-objective Optimization by Learning Space Partition
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Backdoor Defense via Decoupling the Training Process
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Skill-based Meta-Reinforcement Learning
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Towards Understanding Generalization via Decomposing Excess Risk Dynamics
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Procedural generalization by planning with self-supervised world models
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
An Autoregressive Flow Model for 3D Molecular Geometry Generation from Scratch
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Accelerated Policy Learning with Parallel Differentiable Simulation
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Neural Structured Prediction for Inductive Node Classification
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Knowledge Removal in Sampling-based Bayesian Inference
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
PoNet: Pooling Network for Efficient Token Mixing in Long Sequences
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Towards Understanding the Data Dependency of Mixup-style Training
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Learning to Annotate Part Segmentation with Gradient Matching
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Dynamics-Aware Comparison of Learned Reward Functions
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Transformer Embeddings of Irregularly Spaced Events and Their Participants
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Strength of Minibatch Noise in SGD
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Why Propagate Alone? Parallel Use of Labels and Features on Graphs
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Discovering Invariant Rationales for Graph Neural Networks
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Conditional Contrastive Learning with Kernel
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Invariant Causal Representation Learning for Out-of-Distribution Generalization
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Creating Training Sets via Weak Indirect Supervision
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Learning to Complete Code with Sketches
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Adaptive Wavelet Transformer Network for 3D Shape Representation Learning
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Fixed Neural Network Steganography: Train the images, not the network
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Optimal Representations for Covariate Shift
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Sparse Attention with Learning to Hash
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Latent Image Animator: Learning to Animate Images via Latent Space Navigation
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
TAPEX: Table Pre-training via Learning a Neural SQL Executor
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Neural Deep Equilibrium Solvers
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
TAda! Temporally-Adaptive Convolutions for Video Understanding
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Towards General Function Approximation in Zero-Sum Markov Games
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Equivariant Graph Mechanics Networks with Constraints
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
[ Visit Poster at Spot E3 in Virtual World ]
[
Slides]
[
OpenReview]
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
DKM: Differentiable k-Means Clustering Layer for Neural Network Compression
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
GLASS: GNN with Labeling Tricks for Subgraph Representation Learning
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Sampling with Mirrored Stein Operators
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Graph-Enhanced Exploration for Goal-oriented Reinforcement Learning
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT) @ Virtual
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Poster
Tue Apr 26 06:30 PM -- 08:30 PM (PDT)
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features