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25 Results
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Poster
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Wed 18:30 |
Structured Generative Adversarial Networks Zhijie Deng · Hao Zhang · Xiaodan Liang · Luona Yang · Shizhen Xu · Jun Zhu · Eric Xing |
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Poster
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Mon 18:30 |
Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks Wei-Sheng Lai · Jia-Bin Huang · Ming-Hsuan Yang |
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Poster
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Wed 18:30 |
Learning to Compose Domain-Specific Transformations for Data Augmentation Alexander Ratner · Henry Ehrenberg · Zeshan Hussain · Jared Dunnmon · Christopher Ré |
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Poster
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Wed 18:30 |
Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications Qinshi Wang · Wei Chen |
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Poster
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Mon 18:30 |
Inferring Generative Model Structure with Static Analysis Paroma Varma · Bryan He · Payal Bajaj · Nishith Khandwala · Imon Banerjee · Daniel Rubin · Christopher Ré |
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Poster
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Mon 18:30 |
Learning Graph Representations with Embedding Propagation Alberto Garcia Duran · Mathias Niepert |
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Poster
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Wed 18:30 |
Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback Zheng Wen · Branislav Kveton · Michal Valko · Sharan Vaswani |
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Poster
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Wed 18:30 |
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching Chunyuan Li · Hao Liu · Changyou Chen · Yuchen Pu · Liqun Chen · Ricardo Henao · Lawrence Carin |
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Poster
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Mon 18:30 |
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks Zelun Luo · Yuliang Zou · Judy Hoffman · Li Fei-Fei |
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Poster
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Mon 18:30 |
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach Emmanouil Platanios · Hoifung Poon · Tom M Mitchell · Eric Horvitz |
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Poster
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Mon 18:30 |
Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth Narayanaswamy · Brooks Paige · Jan-Willem van de Meent · Alban Desmaison · Noah Goodman · Pushmeet Kohli · Frank Wood · Philip Torr |
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Poster
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Tue 18:30 |
Positive-Unlabeled Learning with Non-Negative Risk Estimator Ryuichi Kiryo · Gang Niu · Marthinus C du Plessis · Masashi Sugiyama |