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Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #1
Universal Successor Representations for Transfer Reinforcement Learning
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Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #2
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #3
Jointly Learning "What" and "How" from Instructions and Goal-States
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #4
Deep learning mutation prediction enables early stage lung cancer detection in liquid biopsy
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #5
Evaluating visual "common sense" using fine-grained classification and captioning tasks
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Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #6
Deep Neural Maps
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #7
Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #8
Compression by the signs: distributed learning is a two-way street
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #9
Rethinking Style and Content Disentanglement in Variational Autoencoders
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #10
Clustering Meets Implicit Generative Models
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #11
Minimally Redundant Laplacian Eigenmaps
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #12
Neural Program Search: Solving Programming Tasks from Description and Examples
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #13
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search
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Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #14
Adversarial Spheres
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #15
Attacking the Madry Defense Model with $L_1$-based Adversarial Examples
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #16
Stable Distribution Alignment Using the Dual of the Adversarial Distance
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #17
A Flexible Approach to Automated RNN Architecture Generation
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #18
Variance-based Gradient Compression for Efficient Distributed Deep Learning
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #19
A differentiable BLEU loss. Analysis and first results
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #20
Kronecker Recurrent Units
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #21
Expert-based reward function training: the novel method to train sequence generators
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #22
The loss surface and expressivity of deep convolutional neural networks
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #23
Semi-Supervised Few-Shot Learning with MAML
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Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #24
Stacked Filters Stationary Flow For Hardware-Oriented Acceleration Of Deep Convolutional Neural Networks
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