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115 Results
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Poster
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Tue 9:00 |
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach Wenda Zhou · Victor Veitch · Morgane Austern · Ryan P Adams · Peter Orbanz |
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Poster
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Wed 9:00 |
How to train your MAML Antreas Antoniou · Harrison Edwards · Amos Storkey |
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Poster
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Wed 14:30 |
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation Akhilesh Deepak Gotmare · Nitish Shirish Keskar · Caiming Xiong · richard socher |
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Poster
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Wed 9:00 |
Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi · Chelsea Finn · Sergey Levine |
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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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Wed 9:00 |
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu · Yuandong Tian |
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Poster
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Thu 9:00 |
Learning Implicitly Recurrent CNNs Through Parameter Sharing Pedro Savarese · Michael Maire |
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Poster
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Thu 14:30 |
Attention, Learn to Solve Routing Problems! Wouter Kool · Herke van Hoof · Max Welling |
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Poster
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Wed 9:00 |
Reward Constrained Policy Optimization Chen Tessler · Daniel J Mankowitz · Shie Mannor |
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Poster
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Wed 9:00 |
Supervised Policy Update for Deep Reinforcement Learning Quan Vuong · Yiming Zhang · Keith Ross |
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Poster
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Thu 9:00 |
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks Yikang Shen · Shawn Tan · Alessandro Sordoni · Aaron Courville |
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Poster
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Wed 14:30 |
Towards Understanding Regularization in Batch Normalization Ping Luo · Xinjiang Wang · wenqi shao · Zhanglin Peng |