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Spotlight
Thu 11:55 Self-Normalizing Neural Networks
Günter Klambauer · Thomas Unterthiner · Andreas Mayr · Sepp Hochreiter
Poster
Wed 18:30 Spectrally-normalized margin bounds for neural networks
Peter Bartlett · Dylan J Foster · Matus Telgarsky
Poster
Mon 18:30 Neural Expectation Maximization
Klaus Greff · Sjoerd van Steenkiste · Jürgen Schmidhuber
Oral
Wed 10:35 Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer · Itay Hubara · Daniel Soudry
Demonstration
Tue 19:00 A cortical neural network simulator for kids
Michiro Negishi
Spotlight
Wed 11:50 Spectrally-normalized margin bounds for neural networks
Peter Bartlett · Dylan J Foster · Matus Telgarsky
Spotlight
Tue 15:35 On the Complexity of Learning Neural Networks
Le Song · Santosh Vempala · John Wilmes · Bo Xie
Spotlight
Thu 12:25 Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
Jinseok Nam · Eneldo Loza Mencía · Hyunwoo J Kim · Johannes Fürnkranz
Spotlight
Tue 17:05 Towards Accurate Binary Convolutional Neural Network
Xiaofan Lin · Cong Zhao · Wei Pan
Poster
Tue 18:30 Decoding with Value Networks for Neural Machine Translation
Di He · Hanqing Lu · Yingce Xia · Tao Qin · Liwei Wang · Tie-Yan Liu
Spotlight
Tue 15:25 Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
Alireza Aghasi · Afshin Abdi · Nam Nguyen · Justin Romberg
Poster
Mon 18:30 Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Urs Köster · Tristan Webb · Xin Wang · Marcel Nassar · Arjun K Bansal · William Constable · Oguz Elibol · Stewart Hall · Luke Hornof · Amir Khosrowshahi · Carey Kloss · Ruby J Pai · Naveen Rao