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Poster
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Tue 9:00
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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
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How to train your MAML
Antreas Antoniou · Harrison Edwards · Amos Storkey
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Poster
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Wed 9:00
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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
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Deep Learning to Predict Student Outcomes
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Poster
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Thu 9:00
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Learning Implicitly Recurrent CNNs Through Parameter Sharing
Pedro Savarese · Michael Maire
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Poster
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Wed 9:00
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M^3RL: Mind-aware Multi-agent Management Reinforcement Learning
Tianmin Shu · Yuandong Tian
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Poster
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Wed 9:00
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Reward Constrained Policy Optimization
Chen Tessler · Daniel J Mankowitz · Shie Mannor
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Poster
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Thu 9:00
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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 9:00
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Supervised Policy Update for Deep Reinforcement Learning
Quan Vuong · Yiming Zhang · Keith Ross
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Poster
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Wed 14:30
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Towards Understanding Regularization in Batch Normalization
Ping Luo · Xinjiang Wang · wenqi shao · Zhanglin Peng
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Poster
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Wed 14:30
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Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
Taiji Suzuki
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Poster
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Wed 14:30
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Aggregated Momentum: Stability Through Passive Damping
James Lucas · Shengyang Sun · Richard Zemel · Roger Grosse
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