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Workshop
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Poster: R-LAtte: Visual Control via Deep Reinforcement Learning with Attention Network
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Poster
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Thu 9:00
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Characterizing emergent representations in a space of candidate learning rules for deep networks
Yinan Cao · Christopher Summerfield · Andrew Saxe
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Poster
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Thu 9:00
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Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Wenrui Zhang · Peng Li
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Spotlight
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Thu 8:00
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Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Wenrui Zhang · Peng Li
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Workshop
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A Bayesian Unsupervised Deep-Learning Based Approach for Deformable Image Registration
Samah Khawaled
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Workshop
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Poster: Targeted Query-based Action-Space Adversarial Policies on Deep Reinforcement Learning Agents
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Poster
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Tue 21:00
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Breaking the Communication-Privacy-Accuracy Trilemma
Wei-Ning Chen · Peter Kairouz · Ayfer Ozgur
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Workshop
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Scalable Deep-Learning-Accelerated Topology Optimization for Additively Manufactured Materials
Sirui Bi · Jiaxin Zhang · Guannan Zhang
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Poster
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Thu 9:00
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Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
Adarsh Keshav Jeewajee · Leslie Kaelbling
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Workshop
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Fri 6:45
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Invited Talk 2: Expressiveness in Deep Learning via Tensor Networks and Quantum Entanglement
Nadav Cohen
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Workshop
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Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory
Jonas Rothfuss
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Poster
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Wed 21:00
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Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
Feng Liu · Xiaoming Liu
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