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Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On the Predictability of Pruning Across Scales
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Emphatic Algorithms for Deep Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Three Operator Splitting with a Nonconvex Loss Function
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Few-Shot Neural Architecture Search
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Poolingformer: Long Document Modeling with Pooling Attention
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Data augmentation for deep learning based accelerated MRI reconstruction with limited data
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Network Inference and Influence Maximization from Samples
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Temporally Correlated Task Scheduling for Sequence Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Oblivious Sketching-based Central Path Method for Linear Programming
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Bayesian Optimization over Hybrid Spaces
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Compositional Video Synthesis with Action Graphs
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Representation Matters: Offline Pretraining for Sequential Decision Making
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Connecting Interpretability and Robustness in Decision Trees through Separation
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Generating images with sparse representations
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Re-understanding Finite-State Representations of Recurrent Policy Networks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Light RUMs
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Reinforcement Learning Under Moral Uncertainty
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning While Playing in Mean-Field Games: Convergence and Optimality
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Domain-Agnostic Contrastive Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Data Augmentation for Meta-Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Signatured Deep Fictitious Play for Mean Field Games with Common Noise
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
AlphaNet: Improved Training of Supernets with Alpha-Divergence
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Power of Adaptivity for Stochastic Submodular Cover
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentiable Spatial Planning using Transformers
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Scalable Normalizing Flows for Permutation Invariant Densities
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Heavy-Tail Phenomenon in SGD
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
An Identifiable Double VAE For Disentangled Representations
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Monotonic Robust Policy Optimization with Model Discrepancy
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning and Planning in Average-Reward Markov Decision Processes
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Estimation in Latent Variable Models
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
EfficientNetV2: Smaller Models and Faster Training
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
BASGD: Buffered Asynchronous SGD for Byzantine Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Quantization Algorithms for Random Fourier Features
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Regularized Submodular Maximization at Scale
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Online Graph Dictionary Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Equivariant message passing for the prediction of tensorial properties and molecular spectra
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Revisiting Peng's Q($\lambda$) for Modern Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Soft then Hard: Rethinking the Quantization in Neural Image Compression
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Information Obfuscation of Graph Neural Networks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
AutoAttend: Automated Attention Representation Search
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Robust Asymmetric Learning in POMDPs
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
High-Performance Large-Scale Image Recognition Without Normalization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Convex Regularization in Monte-Carlo Tree Search
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Leveraging Language to Learn Program Abstractions and Search Heuristics
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning to Weight Imperfect Demonstrations
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Deep Generative Learning via Schrödinger Bridge
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Neural Rough Differential Equations for Long Time Series
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Federated Composite Optimization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
LAMDA: Label Matching Deep Domain Adaptation
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Joining datasets via data augmentation in the label space for neural networks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Explore Visual Concept Formation for Image Classification
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Prioritized Level Replay
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Taylor Expansion of Discount Factors
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Multi-Task Reinforcement Learning with Context-based Representations
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Stabilizing Equilibrium Models by Jacobian Regularization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Ditto: Fair and Robust Federated Learning Through Personalization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Partially Observed Exchangeable Modeling
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Proximal Policy Optimization's Heavy-tailed Gradients
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Density Constrained Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Stochastic Iterative Graph Matching
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Lipschitz normalization for self-attention layers with application to graph neural networks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Keyframe-Focused Visual Imitation Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Training Graph Neural Networks with 1000 Layers
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Hyperparameter Selection for Imitation Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Is Pessimism Provably Efficient for Offline RL?
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Moreau-Yosida $f$-divergences
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accurate Post Training Quantization With Small Calibration Sets
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
RRL: Resnet as representation for Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Wasserstein Minimax Framework for Mixed Linear Regression
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On a Combination of Alternating Minimization and Nesterov's Momentum
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Discovering symbolic policies with deep reinforcement learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Heterogeneity for the Win: One-Shot Federated Clustering
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Characterizing Structural Regularities of Labeled Data in Overparameterized Models
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning Neural Network Subspaces
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Tale of Two Efficient and Informative Negative Sampling Distributions
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Generalizable Episodic Memory for Deep Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Improved Contrastive Divergence Training of Energy-Based Models
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Safe Reinforcement Learning with Linear Function Approximation
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Reinforcement Learning of Implicit and Explicit Control Flow Instructions
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Policy Gradient Bayesian Robust Optimization for Imitation Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Trajectory Diversity for Zero-Shot Coordination
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Zero-Shot Text-to-Image Generation
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
High Confidence Generalization for Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Weight-covariance alignment for adversarially robust neural networks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
LARNet: Lie Algebra Residual Network for Face Recognition
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Just Train Twice: Improving Group Robustness without Training Group Information
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Emergent Social Learning via Multi-agent Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Instance Specific Approximations for Submodular Maximization
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
CATE: Computation-aware Neural Architecture Encoding with Transformers
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Catformer: Designing Stable Transformers via Sensitivity Analysis
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
GMAC: A Distributional Perspective on Actor-Critic Framework
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Emergence of Individuality
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Receptor Skeleton for Capsule Neural Networks
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On the price of explainability for some clustering problems
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Explainability of Graph Neural Networks via Subgraph Explorations
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
What Makes for End-to-End Object Detection?
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Communication-Efficient Distributed SVD via Local Power Iterations
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Communication-Efficient Distributed Optimization with Quantized Preconditioners
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On Characterizing GAN Convergence Through Proximal Duality Gap
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance