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Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Towards Evaluating the Robustness of Neural Networks Learned by Transduction
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Variational oracle guiding for reinforcement learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Self-Supervision Enhanced Feature Selection with Correlated Gates
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Neural Processes with Stochastic Attention: Paying more attention to the context dataset
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Surreal-GAN:Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
What Do We Mean by Generalization in Federated Learning?
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Training invariances and the low-rank phenomenon: beyond linear networks
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Representational Continuity for Unsupervised Continual Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Task Relatedness-Based Generalization Bounds for Meta Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Emergent Communication at Scale
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Equivariant Transformers for Neural Network based Molecular Potentials
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Generative Models as a Data Source for Multiview Representation Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Automated Self-Supervised Learning for Graphs
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
ViTGAN: Training GANs with Vision Transformers
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Focus on the Common Good: Group Distributional Robustness Follows
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
GNN is a Counter? Revisiting GNN for Question Answering
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Taming Sparsely Activated Transformer with Stochastic Experts
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
On Non-Random Missing Labels in Semi-Supervised Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Conditional Image Generation by Conditioning Variational Auto-Encoders
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Generalized Decision Transformer for Offline Hindsight Information Matching
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Compositional Training for End-to-End Deep AUC Maximization
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
FedBABU: Toward Enhanced Representation for Federated Image Classification
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Efficient and Differentiable Conformal Prediction with General Function Classes
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
On Robust Prefix-Tuning for Text Classification
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Regularized Autoencoders for Isometric Representation Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Language modeling via stochastic processes
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Hot-Refresh Model Upgrades with Regression-Free Compatible Training in Image Retrieval
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Online Coreset Selection for Rehearsal-based Continual Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Unsupervised Discovery of Object Radiance Fields
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Neural Models for Output-Space Invariance in Combinatorial Problems
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Objects in Semantic Topology
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Geometric Transformers for Protein Interface Contact Prediction
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Neural Contextual Bandits with Deep Representation and Shallow Exploration
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Understanding the Role of Self Attention for Efficient Speech Recognition
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Decoupled Adaptation for Cross-Domain Object Detection
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Effective Model Sparsification by Scheduled Grow-and-Prune Methods
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
The Close Relationship Between Contrastive Learning and Meta-Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
FastSHAP: Real-Time Shapley Value Estimation
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Towards Continual Knowledge Learning of Language Models
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Continual Learning with Recursive Gradient Optimization
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Target-Side Input Augmentation for Sequence to Sequence Generation
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
GreaseLM: Graph REASoning Enhanced Language Models
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Trigger Hunting with a Topological Prior for Trojan Detection
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
ViDT: An Efficient and Effective Fully Transformer-based Object Detector
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Rethinking Adversarial Transferability from a Data Distribution Perspective
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Data-Efficient Graph Grammar Learning for Molecular Generation
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
On Evaluation Metrics for Graph Generative Models
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Probabilistic Implicit Scene Completion
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
BiBERT: Accurate Fully Binarized BERT
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
An Unconstrained Layer-Peeled Perspective on Neural Collapse
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
An Information Fusion Approach to Learning with Instance-Dependent Label Noise
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Fast Generic Interaction Detection for Model Interpretability and Compression
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Safe Neurosymbolic Learning with Differentiable Symbolic Execution
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
On the Learning and Learnability of Quasimetrics
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
Path Integral Sampler: A Stochastic Control Approach For Sampling
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT) @ Virtual
MoReL: Multi-omics Relational Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Weighted Training for Cross-Task Learning
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum
Poster
Mon Apr 25 06:30 PM -- 08:30 PM (PDT)
Neural Program Synthesis with Query