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108 Results
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Poster
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Tue 18:00 |
Intrinsic Reward Driven Imitation Learning via Generative Model Xingrui Yu · Yueming LYU · Ivor Tsang |
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Poster
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Wed 10:00 |
Learning Calibratable Policies using Programmatic Style-Consistency Eric Zhan · Albert Tseng · Yisong Yue · Adith Swaminathan · Matthew Hausknecht |
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Poster
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Thu 6:00 |
Robustifying Sequential Neural Processes Jaesik Yoon · Gautam Singh · Sungjin Ahn |
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Poster
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Wed 8:00 |
Undirected Graphical Models as Approximate Posteriors Arash Vahdat · Evgeny Andriyash · William Macready |
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Poster
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Wed 8:00 |
Sample Amplification: Increasing Dataset Size even when Learning is Impossible Brian Axelrod · Shivam Garg · Vatsal Sharan · Gregory Valiant |
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Poster
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Tue 8:00 |
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders Yibo Jiang · Cengiz Pehlevan |
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Poster
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Thu 7:00 |
Perceptual Generative Autoencoders Zijun Zhang · Ruixiang ZHANG · Zongpeng Li · Yoshua Bengio · Liam Paull |
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Poster
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Thu 7:00 |
Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie · Tero Karras · Animesh Garg · Shoubhik Debnath · Anjul Patney · Ankit Patel · Anima Anandkumar |
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Poster
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Wed 5:00 |
VFlow: More Expressive Generative Flows with Variational Data Augmentation Jianfei Chen · Cheng Lu · Biqi Chenli · Jun Zhu · Tian Tian |
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Poster
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Thu 7:00 |
ACFlow: Flow Models for Arbitrary Conditional Likelihoods Yang Li · Shoaib Akbar · Junier Oliva |
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Poster
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Thu 9:00 |
Energy-Based Processes for Exchangeable Data Mengjiao Yang · Bo Dai · Hanjun Dai · Dale Schuurmans |
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Poster
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Thu 7:00 |
Distribution Augmentation for Generative Modeling Heewoo Jun · Rewon Child · Mark Chen · John Schulman · Aditya Ramesh · Alec Radford · Ilya Sutskever |