Toggle Poster Visibility
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Early Stopping in Deep Networks: Double Descent and How to Eliminate it
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Evaluation of Neural Architectures Trained With Square Loss vs Cross-Entropy in Classification Tasks
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-supervised Visual Reinforcement Learning with Object-centric Representations
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Anytime Sampling for Autoregressive Models via Ordered Autoencoding
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Iterated learning for emergent systematicity in VQA
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Orthogonalizing Convolutional Layers with the Cayley Transform
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
More or Less: When and How to Build Convolutional Neural Network Ensembles
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Provably robust classification of adversarial examples with detection
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Pre-training Text-to-Text Transformers for Concept-centric Common Sense
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Faster Binary Embeddings for Preserving Euclidean Distances
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Neural Networks for Learning Counterfactual G-Invariances from Single Environments
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Modeling the Second Player in Distributionally Robust Optimization
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Chaos of Learning Beyond Zero-sum and Coordination via Game Decompositions
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Growing Efficient Deep Networks by Structured Continuous Sparsification
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Training independent subnetworks for robust prediction
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Task-General Representations with Generative Neuro-Symbolic Modeling
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Average-case Acceleration for Bilinear Games and Normal Matrices
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
IsarStep: a Benchmark for High-level Mathematical Reasoning
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Graph Information Bottleneck for Subgraph Recognition
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Neural Synthesis of Binaural Speech From Mono Audio
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Differentiable Trust Region Layers for Deep Reinforcement Learning
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Theoretical bounds on estimation error for meta-learning
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
For self-supervised learning, Rationality implies generalization, provably
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Human-Level Performance in No-Press Diplomacy via Equilibrium Search
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Learning Mesh-Based Simulation with Graph Networks
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Sharpness-aware Minimization for Efficiently Improving Generalization
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Generative Time-series Modeling with Fourier Flows
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
How Does Mixup Help With Robustness and Generalization?
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning to Represent Action Values as a Hypergraph on the Action Vertices
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
RODE: Learning Roles to Decompose Multi-Agent Tasks
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Property Controllable Variational Autoencoder via Invertible Mutual Dependence
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
SEED: Self-supervised Distillation For Visual Representation
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Unsupervised Audiovisual Synthesis via Exemplar Autoencoders
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Learning Generalizable Visual Representations via Interactive Gameplay
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Long-tail learning via logit adjustment
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Geometry-Aware Gradient Algorithms for Neural Architecture Search
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
On the Bottleneck of Graph Neural Networks and its Practical Implications
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Optimism in Reinforcement Learning with Generalized Linear Function Approximation
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Probabilistic Numeric Convolutional Neural Networks
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
HyperGrid Transformers: Towards A Single Model for Multiple Tasks
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Entropic gradient descent algorithms and wide flat minima
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
A Gradient Flow Framework For Analyzing Network Pruning
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multiplicative Filter Networks
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Few-Shot Bayesian Optimization with Deep Kernel Surrogates
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Unbiased Teacher for Semi-Supervised Object Detection
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT)
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning
[ Paper ]
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning advanced mathematical computations from examples
Poster
Wed May 05 09:00 AM -- 11:00 AM (PDT) @ Virtual
You Only Need Adversarial Supervision for Semantic Image Synthesis