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Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Gradient Projection Memory for Continual Learning
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Reset-Free Lifelong Learning with Skill-Space Planning
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
LambdaNetworks: Modeling long-range Interactions without Attention
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
PAC Confidence Predictions for Deep Neural Network Classifiers
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Uncertainty Sets for Image Classifiers using Conformal Prediction
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Conditional Negative Sampling for Contrastive Learning of Visual Representations
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Structural Edits via Incremental Tree Transformations
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Trajectory Prediction using Equivariant Continuous Convolution
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
On the role of planning in model-based deep reinforcement learning
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Fast convergence of stochastic subgradient method under interpolation
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
The role of Disentanglement in Generalisation
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Shapley Explanation Networks
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Pruning Neural Networks at Initialization: Why Are We Missing the Mark?
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning Hyperbolic Representations of Topological Features
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
On the Impossibility of Global Convergence in Multi-Loss Optimization
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Predicting Inductive Biases of Pre-Trained Models
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning from others' mistakes: Avoiding dataset biases without modeling them
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Planning from Pixels using Inverse Dynamics Models
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
On Statistical Bias In Active Learning: How and When to Fix It
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Symmetry-Aware Actor-Critic for 3D Molecular Design
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Single-Photon Image Classification
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
On the Universality of Rotation Equivariant Point Cloud Networks
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Universal approximation power of deep residual neural networks via nonlinear control theory
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Structured Prediction as Translation between Augmented Natural Languages
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Effective Distributed Learning with Random Features: Improved Bounds and Algorithms
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Parameter Efficient Multimodal Transformers for Video Representation Learning
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
A statistical theory of cold posteriors in deep neural networks
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Using latent space regression to analyze and leverage compositionality in GANs
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Shape-Texture Debiased Neural Network Training
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning Invariant Representations for Reinforcement Learning without Reconstruction
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning "What-if" Explanations for Sequential Decision-Making
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Graph Convolution with Low-rank Learnable Local Filters
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Training GANs with Stronger Augmentations via Contrastive Discriminator
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Language-Agnostic Representation Learning of Source Code from Structure and Context
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
What Should Not Be Contrastive in Contrastive Learning
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-Supervised Policy Adaptation during Deployment
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Risks of Invariant Risk Minimization
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Rethinking Embedding Coupling in Pre-trained Language Models
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Understanding the failure modes of out-of-distribution generalization
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Overparameterisation and worst-case generalisation: friend or foe?
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Revisiting Few-sample BERT Fine-tuning
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Predicting Classification Accuracy When Adding New Unobserved Classes
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
What Can You Learn From Your Muscles? Learning Visual Representation from Human Interactions
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scaling Symbolic Methods using Gradients for Neural Model Explanation
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
MultiModalQA: complex question answering over text, tables and images
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multi-Time Attention Networks for Irregularly Sampled Time Series
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction
[ Paper ]
Poster
Mon May 03 09:00 AM -- 11:00 AM (PDT)
Learning-based Support Estimation in Sublinear Time
[ Paper ]