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Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
CPT: Efficient Deep Neural Network Training via Cyclic Precision
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Generative Scene Graph Networks
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Fast Geometric Projections for Local Robustness Certification
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Adapting to Reward Progressivity via Spectral Reinforcement Learning
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Learning to Make Decisions via Submodular Regularization
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Combining Ensembles and Data Augmentation Can Harm Your Calibration
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Combining Label Propagation and Simple Models out-performs Graph Neural Networks
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Learning to Sample with Local and Global Contexts in Experience Replay Buffer
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Prototypical Representation Learning for Relation Extraction
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Molecule Optimization by Explainable Evolution
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Multi-timescale Representation Learning in LSTM Language Models
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Extreme Memorization via Scale of Initialization
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Neural representation and generation for RNA secondary structures
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Isotropy in the Contextual Embedding Space: Clusters and Manifolds
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Distributional Sliced-Wasserstein and Applications to Generative Modeling
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
CT-Net: Channel Tensorization Network for Video Classification
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Group Equivariant Generative Adversarial Networks
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Self-supervised Representation Learning with Relative Predictive Coding
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Convex Regularization behind Neural Reconstruction
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Self-supervised Learning from a Multi-view Perspective
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
No MCMC for me: Amortized sampling for fast and stable training of energy-based models
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Learning perturbation sets for robust machine learning
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Few-Shot Learning via Learning the Representation, Provably
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Neural Pruning via Growing Regularization
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
BiPointNet: Binary Neural Network for Point Clouds
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Contrastive Syn-to-Real Generalization
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
A Learning Theoretic Perspective on Local Explainability
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
$i$-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Representing Partial Programs with Blended Abstract Semantics
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Global Convergence of Three-layer Neural Networks in the Mean Field Regime
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Linear Convergent Decentralized Optimization with Compression
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders
[ Paper ]