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Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Online Ad Hoc Teamwork under Partial Observability
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Unified Visual Transformer Compression
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
An Operator Theoretic View On Pruning Deep Neural Networks
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
TPU-GAN: Learning temporal coherence from dynamic point cloud sequences
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Pareto Policy Adaptation
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Understanding the Variance Collapse of SVGD in High Dimensions
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Anti-Concentrated Confidence Bonuses For Scalable Exploration
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
On the relation between statistical learning and perceptual distances
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
CodeTrek: Flexible Modeling of Code using an Extensible Relational Representation
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Multi-Stage Episodic Control for Strategic Exploration in Text Games
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Autoregressive Quantile Flows for Predictive Uncertainty Estimation
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Deep ReLU Networks Preserve Expected Length
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Towards a Unified View of Parameter-Efficient Transfer Learning
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Increasing the Cost of Model Extraction with Calibrated Proof of Work
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Looking Back on Learned Experiences For Class/task Incremental Learning
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning Curves for SGD on Structured Features
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Boosting Randomized Smoothing with Variance Reduced Classifiers
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Query Embedding on Hyper-Relational Knowledge Graphs
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Divisive Feature Normalization Improves Image Recognition Performance in AlexNet
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Geometric and Physical Quantities improve E(3) Equivariant Message Passing
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
EntQA: Entity Linking as Question Answering
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Imitation Learning from Observations under Transition Model Disparity
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
How Did the Model Change? Efficiently Assessing Machine Learning API Shifts
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
On Bridging Generic and Personalized Federated Learning for Image Classification
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
An Agnostic Approach to Federated Learning with Class Imbalance
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
A Zest of LIME: Towards Architecture-Independent Model Distances
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning to Schedule Learning rate with Graph Neural Networks
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Practical Integration via Separable Bijective Networks
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Local Feature Swapping for Generalization in Reinforcement Learning
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Domain Adversarial Training: A Game Perspective
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Minimax Optimization with Smooth Algorithmic Adversaries
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Non-Linear Operator Approximations for Initial Value Problems
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Bag of Instances Aggregation Boosts Self-supervised Distillation
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning to Map for Active Semantic Goal Navigation
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
GiraffeDet: A Heavy-Neck Paradigm for Object Detection
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
R4D: Utilizing Reference Objects for Long-Range Distance Estimation
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Optimization and Adaptive Generalization of Three layer Neural Networks
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Approximation and Learning with Deep Convolutional Models: a Kernel Perspective
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Attention-based Interpretability with Concept Transformers
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Programmatic Reinforcement Learning without Oracles
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Can an Image Classifier Suffice For Action Recognition?
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Fairness in Representation for Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Learning Curves for Gaussian Process Regression with Power-Law Priors and Targets
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Monotonic Differentiable Sorting Networks
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Hindsight: Posterior-guided training of retrievers for improved open-ended generation
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Mirror Descent Policy Optimization
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning more skills through optimistic exploration
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
How many degrees of freedom do we need to train deep networks: a loss landscape perspective
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Energy-Inspired Molecular Conformation Optimization
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
FILM: Following Instructions in Language with Modular Methods
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Language-biased image classification: evaluation based on semantic representations
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Pix2seq: A Language Modeling Framework for Object Detection
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
On the Convergence of mSGD and AdaGrad for Stochastic Optimization
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Compositional Attention: Disentangling Search and Retrieval
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Bregman Gradient Policy Optimization
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Low-Budget Active Learning via Wasserstein Distance: An Integer Programming Approach
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Explanations of Black-Box Models based on Directional Feature Interactions
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Language model compression with weighted low-rank factorization
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Sparse Communication via Mixed Distributions
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Proof Artifact Co-Training for Theorem Proving with Language Models
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Unifying Likelihood-free Inference with Black-box Optimization and Beyond
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Message Passing Neural PDE Solvers
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Possibility Before Utility: Learning And Using Hierarchical Affordances
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Overcoming The Spectral Bias of Neural Value Approximation
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Lossless Compression with Probabilistic Circuits
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Equivariant Subgraph Aggregation Networks
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning Object-Oriented Dynamics for Planning from Text
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning-Augmented $k$-means Clustering
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Autonomous Reinforcement Learning: Formalism and Benchmarking
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
New Insights on Reducing Abrupt Representation Change in Online Continual Learning
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Representation Learning for Online and Offline RL in Low-rank MDPs
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Fine-grained Differentiable Physics: A Yarn-level Model for Fabrics
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Conditional Object-Centric Learning from Video
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Properties from mechanisms: an equivariance perspective on identifiable representation learning