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Poster
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Thu 9:00
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Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
Adarsh Keshav Jeewajee · Leslie Kaelbling
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Poster
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Tue 9:00
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GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz · Yiyi Liao · Michael Niemeyer · Andreas Geiger
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Poster
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Thu 9:00
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Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization
Abhinav Agrawal · Daniel Sheldon · Justin Domke
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Poster
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Tue 9:00
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Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function
Lingkai Kong · Molei Tao
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Poster
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Wed 21:00
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Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
Jianyuan Wang · Yiran Zhong · Yuchao Dai · Kaihao Zhang · Pan Ji · Hongdong Li
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Poster
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Wed 9:00
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Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
Chaoyang He · Murali Annavaram · Salman Avestimehr
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Poster
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Tue 21:00
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Marginal Utility for Planning in Continuous or Large Discrete Action Spaces
Zaheen Ahmad · Levi Lelis · Michael Bowling
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Poster
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Thu 9:00
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Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets
Rui Luo · Qiang Zhang · Yaodong Yang · Jun Wang
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Poster
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Wed 21:00
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Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang · Zhi Xu
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Poster
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Mon 21:00
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On Function Approximation in Reinforcement Learning: Optimism in the Face of Large State Spaces
Zhuoran Yang · Chi Jin · Zhaoran Wang · Mengdi Wang · Michael Jordan
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Workshop
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Poster: Evolving Reinforcement Learning Algorithms
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Workshop
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Poster: Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms
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