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Expo Workshop
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Sun 17:00 |
PaddlePaddle-based Deep Learning at Baidu Dejing Dou · Chenxia Li · Teng Xi · Dingfu Zhou · Tianyi Wu · Xuhong Li · Zhengjie Huang · Guocheng Niu · Ji Liu · Yaqing Wang · Xin Wang · Qianwei Cai |
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Expo Workshop
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Sun 18:30 |
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li |
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Tutorial
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Mon 8:00 |
Part 1: Introduction to Sparsity in Deep Learning Torsten Hoefler |
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Tutorial
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Mon 8:00 |
Continual Learning with Deep Architectures Vincenzo Lomonaco · Irina Rish |
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Tutorial
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Mon 8:00 |
Sparsity in Deep Learning: Pruning and growth for efficient inference and training Torsten Hoefler · Dan Alistarh |
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Affinity Workshop
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Mon 10:30 |
Ceramic Cracks Segmentation with Deep Learning Gerivan Junior · Janderson Ferreira · Cristian Millán · Ramiro Ruiz · Alberto Junior · Bruno Fernandes |
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Affinity Workshop
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Mon 10:35 |
Towards Explainable Deep Reinforcement Learning for Traffic Signal Control Lincoln Schreiber · Gabriel Ramos · Ana Lucia Cetertich Bazzan |
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Tutorial
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Mon 14:15 |
The Mystery of Generalization: Why Does Deep Learning Work? Jeffrey Pennington |
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Affinity Workshop
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Mon 15:15 |
A Tree-Adaptation Mechanism for Covariate and Concept Drift Felipe Leno da Silva · Renato Vicente |
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Oral
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Tue 5:00 |
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot Joel Z Leibo · Edgar Duenez-Guzman · Alexander Vezhnevets · John Agapiou · Peter Sunehag · Raphael Koster · Jayd Matyas · Charles Beattie · Igor Mordatch · Thore Graepel |
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Spotlight
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Tue 5:20 |
Consistent Nonparametric Methods for Network Assisted Covariate Estimation Xueyu Mao · Deepayan Chakrabarti · Purnamrita Sarkar |
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Spotlight
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Tue 5:20 |
Reinforcement Learning with Prototypical Representations Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto |