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Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Generalized and Scalable Optimal Sparse Decision Trees
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
The Performance Analysis of Generalized Margin Maximizers on Separable Data
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT) @ Virtual
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Gradient Temporal-Difference Learning with Regularized Corrections
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Learning Mixtures of Graphs from Epidemic Cascades
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Parameter-free, Dynamic, and Strongly-Adaptive Online Learning
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Optimizing Data Usage via Differentiable Rewards
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Defense Through Diverse Directions
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT) @ Virtual
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Sparse Sinkhorn Attention
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Progressive Identification of True Labels for Partial-Label Learning
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
An Imitation Learning Approach for Cache Replacement
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Generalization and Representational Limits of Graph Neural Networks
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Learning Human Objectives by Evaluating Hypothetical Behavior
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
SGD Learns One-Layer Networks in WGANs
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Visual Grounding of Learned Physical Models
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
High-dimensional Robust Mean Estimation via Gradient Descent
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Domain Aggregation Networks for Multi-Source Domain Adaptation
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Emergence of Separable Manifolds in Deep Language Representations
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Coresets for Data-efficient Training of Machine Learning Models
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Model Fusion with Kullback--Leibler Divergence
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Momentum-Based Policy Gradient Methods
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Principled learning method for Wasserstein distributionally robust optimization with local perturbations
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Minimax Pareto Fairness: A Multi Objective Perspective
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Slides]
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Certified Data Removal from Machine Learning Models
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
One-shot Distributed Ridge Regression in High Dimensions
Poster
Thu Jul 16 08:00 AM -- 08:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Cost-Effective Interactive Attention Learning with Neural Attention Processes