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Poster
Wed 14:30 On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks
Yukun Ding · Jinglan Liu · Jinjun Xiong · Yiyu Shi
Poster
Thu 9:00 Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikang Shen · Shawn Tan · Alessandro Sordoni · Aaron Courville
Poster
Thu 9:00 Stable Recurrent Models
John Miller · Moritz Hardt
Poster
Wed 14:30 ProxQuant: Quantized Neural Networks via Proximal Operators
Yu Bai · Yu-Xiang Wang · Edo Liberty
Poster
Thu 9:00 RNNs implicitly implement tensor-product representations
Tom McCoy · Tal Linzen · Ewan Dunbar · Paul Smolensky
Poster
Thu 9:00 Generalized Tensor Models for Recurrent Neural Networks
Valentin Khrulkov · Oleksii Hrinchuk · Ivan Oseledets
Poster
Wed 14:30 Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network
Daehyun Ahn · Dongsoo Lee · Taesu Kim · Jae-Joon Kim
Poster
Thu 9:00 Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
Thomas Miconi · Aditya Rawal · Jeff Clune · Kenneth O. Stanley
Poster
Wed 14:30 An Empirical study of Binary Neural Networks' Optimisation
Milad Alizadeh · Javier Fernandez-Marques · Nicholas Lane · Yarin Gal
Oral
Tue 13:15 Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramer · Dan Boneh
Poster
Wed 14:30 Deep Frank-Wolfe For Neural Network Optimization
Leonard Berrada · Andrew Zisserman · M. Pawan Kumar
Oral
Wed 8:15 Deterministic Variational Inference for Robust Bayesian Neural Networks
Anqi Wu · Sebastian Nowozin · Ted Meeds · Richard E Turner · José Miguel Hernández Lobato · Alexander Gaunt