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95 Results
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Poster
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Wed 9:00 |
Backprop KF: Learning Discriminative Deterministic State Estimators Tuomas Haarnoja · Anurag Ajay · Sergey Levine · Pieter Abbeel |
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Oral
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Tue 7:20 |
Supervised learning through the lens of compression Ofir David · Shay Moran · Amir Yehudayoff |
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Poster
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Tue 9:00 |
Multimodal Residual Learning for Visual QA Jin-Hwa Kim · Sang-Woo Lee · Donghyun Kwak · Min-Oh Heo · Jeonghee Kim · Jung-Woo Ha · Byoung-Tak Zhang |
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Poster
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Tue 9:00 |
Blind Attacks on Machine Learners Alex Beatson · Zhaoran Wang · Han Liu |
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Poster
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Tue 9:00 |
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing Ming Lin · Jieping Ye |
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Poster
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Mon 9:00 |
Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs Shahin Jabbari · Ryan Rogers · Aaron Roth · Steven Wu |
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Invited Talk
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Wed 0:00 |
Machine Learning and Likelihood-Free Inference in Particle Physics Kyle Cranmer |
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Workshop
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Thu 23:00 |
The Future of Interactive Machine Learning Kory Mathewson @korymath · Kaushik Subramanian · Mark Ho · Robert Loftin · Joseph L Austerweil · Anna Harutyunyan · Doina Precup · Layla El Asri · Matthew Gombolay · Jerry Zhu · Sonia Chernova · Charles Isbell · Patrick M Pilarski · Weng-Keen Wong · Manuela Veloso · Julie A Shah · Matthew Taylor · Brenna Argall · Michael Littman |
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Poster
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Mon 9:00 |
Computing and maximizing influence in linear threshold and triggering models Justin Khim · Varun Jog · Po-Ling Loh |
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Poster
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Tue 9:00 |
Dual Learning for Machine Translation Di He · Yingce Xia · Tao Qin · Liwei Wang · Nenghai Yu · Tie-Yan Liu · Wei-Ying Ma |
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Poster
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Wed 9:00 |
Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics Wei-Shou Hsu · Pascal Poupart |