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22 Results
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Poster
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Thu 9:00 |
Hierarchical interpretations for neural network predictions Chandan Singh · William Murdoch · Bin Yu |
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Poster
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Tue 9:00 |
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods Apratim Bhattacharyya · Mario Fritz · Bernt Schiele |
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Poster
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Tue 9:00 |
Learning what you can do before doing anything Oleh Rybkin · Karl Pertsch · Kosta Derpanis · Kostas Daniilidis · Andrew Jaegle |
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Workshop
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Mon 7:45 |
Deep Reinforcement Learning Meets Structured Prediction Chen Liang · Ni Lao · Wang Ling · Zita Marinho · Yuandong Tian · Lu Wang · Jason D Williams · Audrey Durand · Andre Martins |
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Workshop
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Mon 15:30 |
Deep Learning to Predict Student Outcomes |
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Poster
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Tue 9:00 |
Time-Agnostic Prediction: Predicting Predictable Video Frames Dinesh Jayaraman · Frederik Ebert · Alexei Efros · Sergey Levine |
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Poster
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Tue 9:00 |
Diversity-Sensitive Conditional Generative Adversarial Networks Dingdong Yang · Seunghoon Hong · Yunseok Jang · Tianchen Zhao · Honglak Lee |
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Poster
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Wed 14:30 |
Predicting the Generalization Gap in Deep Networks with Margin Distributions YiDing Jiang · Dilip Krishnan · Hossein Mobahi · Samy Bengio |
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Poster
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Tue 14:30 |
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Gasteiger · Aleksandar Bojchevski · Stephan Günnemann |
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Poster
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Thu 9:00 |
Learning protein sequence embeddings using information from structure Tristan Bepler · Bonnie Berger |