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Workshop
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Fri 16:25
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Keynote by Charles Sutton: Towards Semi-Automated Machine Learning
Charles Sutton
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Oral
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Thu 17:00
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The information-theoretic value of unlabeled data in semi-supervised learning
Alexander Golovnev · David Pal · Balazs Szorenyi
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Poster
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Wed 18:30
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Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously
Julian Zimmert · Haipeng Luo · Chen-Yu Wei
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Poster
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Wed 18:30
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Learning Classifiers for Target Domain with Limited or No Labels
Pengkai Zhu · Hanxiao Wang · Venkatesh Saligrama
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Poster
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Thu 18:30
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Neural Separation of Observed and Unobserved Distributions
Tavi Halperin · Ariel Ephrat · Yedid Hoshen
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Poster
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Thu 18:30
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The information-theoretic value of unlabeled data in semi-supervised learning
Alexander Golovnev · David Pal · Balazs Szorenyi
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Poster
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Tue 18:30
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Co-Representation Network for Generalized Zero-Shot Learning
Fei Zhang · Guangming Shi
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Poster
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Tue 18:30
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HexaGAN: Generative Adversarial Nets for Real World Classification
Uiwon Hwang · Dahuin Jung · Sungroh Yoon
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Poster
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Wed 18:30
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A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization
Yucheng Chen · Matus Telgarsky · Chao Zhang · Bolton Bailey · Daniel Hsu · Jian Peng
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Poster
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Tue 18:30
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Simplifying Graph Convolutional Networks
Felix Wu · Amauri Souza · Tianyi Zhang · Christopher Fifty · Tao Yu · Kilian Weinberger
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Poster
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Tue 18:30
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Weakly-Supervised Temporal Localization via Occurrence Count Learning
Julien Schroeter · Kirill Sidorov · David Marshall
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Poster
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Thu 18:30
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Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Yifan Wu · Ezra Winston · Divyansh Kaushik · Zachary Lipton
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