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29 Results
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Poster
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Tue 10:45 |
Re-examination of the Role of Latent Variables in Sequence Modeling Guokun Lai · Zihang Dai · Yiming Yang · Shinjae Yoo |
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Poster
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Tue 10:45 |
Near Neighbor: Who is the Fairest of Them All? Sariel Har-Peled · Sepideh Mahabadi |
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Poster
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Thu 17:00 |
Sample Complexity of Learning Mixture of Sparse Linear Regressions Akshay Krishnamurthy · Arya Mazumdar · Andrew McGregor · Soumyabrata Pal |
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Poster
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Tue 17:30 |
Adversarial Fisher Vectors for Unsupervised Representation Learning Shuangfei Zhai · Walter Talbott · Carlos Guestrin · Joshua Susskind |
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Poster
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Tue 10:45 |
Unconstrained Monotonic Neural Networks Antoine Wehenkel · Gilles Louppe |
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Spotlight
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Tue 17:05 |
Adaptive Density Estimation for Generative Models Thomas Lucas · Konstantin Shmelkov · Karteek Alahari · Cordelia Schmid · Jakob Verbeek |
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Oral
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Thu 16:25 |
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses Ananya Uppal · Shashank Singh · Barnabas Poczos |
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Poster
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Wed 17:00 |
Graph Normalizing Flows Jenny Liu · Aviral Kumar · Jimmy Ba · Jamie Kiros · Kevin Swersky |
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Poster
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Tue 17:30 |
Adaptive Density Estimation for Generative Models Thomas Lucas · Konstantin Shmelkov · Karteek Alahari · Cordelia Schmid · Jakob Verbeek |
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Poster
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Thu 17:00 |
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses Ananya Uppal · Shashank Singh · Barnabas Poczos |
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Poster
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Tue 17:30 |
Residual Flows for Invertible Generative Modeling Tian Qi Chen · Jens Behrmann · David Duvenaud · Joern-Henrik Jacobsen |
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Poster
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Wed 10:45 |
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness Andrey Malinin · Mark Gales |