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Workshop
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Sat 11:40
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ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks
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Workshop
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Fri 11:00
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Efficient Computation of Deep Convolutional Neural Networks: A Quantization Perspective
Max Welling
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Workshop
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Fri 11:25
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Deep neural network compression and acceleration
Anbang Yao
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Poster
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Wed 14:00
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Are ResNets Provably Better than Linear Predictors?
Ohad Shamir
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Poster
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Tue 7:45
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Tree-to-tree Neural Networks for Program Translation
Xinyun Chen · Chang Liu · Dawn Song
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Poster
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Wed 7:45
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Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units
Yixi Xu · Xiao Wang
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Poster
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Thu 7:45
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Can We Gain More from Orthogonality Regularizations in Training Deep Networks?
Nitin Bansal · Xiaohan Chen · Zhangyang Wang
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Poster
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Thu 7:45
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Posterior Concentration for Sparse Deep Learning
Veronika Rockova · nicholas polson
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Poster
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Wed 7:45
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Parsimonious Bayesian deep networks
Mingyuan Zhou
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Poster
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Tue 7:45
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Dendritic cortical microcircuits approximate the backpropagation algorithm
João Sacramento · Rui Ponte Costa · Yoshua Bengio · Walter Senn
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Demonstration
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Tue 7:45
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Deep Neural Networks Running Onboard Anki’s Robot, Vector
Lorenzo Riano · Andrew Stein · Mark Palatucci
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Poster
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Tue 14:00
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Provably Correct Automatic Sub-Differentiation for Qualified Programs
Sham Kakade · Jason Lee
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