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Poster
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Thu 9:00 |
Meta-Learning of Structured Task Distributions in Humans and Machines Sreejan Kumar · Ishita Dasgupta · Jonathan Cohen · Nathaniel Daw · Thomas L Griffiths |
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Poster
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Mon 1:00 |
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee · Eunyoung Hyung · Sung Ju Hwang |
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Poster
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Tue 17:00 |
Knowledge Distillation as Semiparametric Inference Tri Dao · Govinda Kamath · Vasilis Syrgkanis · Lester Mackey |
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Poster
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Mon 1:00 |
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model Xinyue Chen · Che Wang · Zijian Zhou · Keith Ross |
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Poster
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Mon 9:00 |
Shapley Explanation Networks Rui Wang · Xiaoqian Wang · David Inouye |
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Poster
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Mon 1:00 |
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks Masanobu Horie · Naoki Morita · Toshiaki Hishinuma · Yu Ihara · Naoto Mitsume |
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Workshop
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Fri 9:40 |
Inference Risks for Machine Learning David Evans |
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Workshop
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Fri 8:00 |
Robust and reliable machine learning in the real world Di Jin · Eric Wong · Yonatan Belinkov · Kai-Wei Chang · Zhijing Jin · Yanjun Qi · Aditi Raghunathan · Tristan Naumann · Mohit Bansal |
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Invited Talk
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Mon 8:00 |
Moving beyond the fairness rhetoric in machine learning Timnit Gebru |
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Workshop
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Fri 14:01 |
Contributed Talk 3 - Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks Curtis G Northcutt |
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Workshop
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Fri 13:07 |
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks Curtis G Northcutt |
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Workshop
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Fri 10:05 |
Q&A for Inference Risks for Machine Learning |