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31 Results

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Poster
Wed 14:30 Three Mechanisms of Weight Decay Regularization
Guodong Zhang · Chaoqi Wang · Bowen Xu · Roger Grosse
Poster
Tue 14:30 Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani · Colin Raffel · Luke Metz
Poster
Tue 14:30 Deep reinforcement learning with relational inductive biases
Vinicius Zambaldi · David Raposo · Adam Santoro · Victor Bapst · Yujia Li · Igor Babuschkin · Karl Tuyls · David P Reichert · Timothy Lillicrap · Edward Lockhart · Murray Shanahan · Victoria Langston · Razvan Pascanu · Matthew Botvinick · Oriol Vinyals · Peter Battaglia
Poster
Thu 14:30 Deep learning generalizes because the parameter-function map is biased towards simple functions
Guillermo Valle-Perez · Chico Q. Camargo · Ard Louis
Poster
Wed 14:30 Adaptive Gradient Methods with Dynamic Bound of Learning Rate
Liangchen Luo · Yuanhao Xiong · Yan Liu · Xu Sun
Poster
Tue 14:30 Generalizable Adversarial Training via Spectral Normalization
Farzan Farnia · Jesse Zhang · David Tse
Poster
Wed 14:30 Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience
Vaishnavh Nagarajan · Zico Kolter
Poster
Tue 14:30 Excessive Invariance Causes Adversarial Vulnerability
Joern-Henrik Jacobsen · Jens Behrmann · Richard Zemel · Matthias Bethge
Poster
Tue 14:30 Improving Generalization and Stability of Generative Adversarial Networks
Hoang Thanh-Tung · Truyen Tran · Svetha Venkatesh
Poster
Wed 14:30 Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
Taiji Suzuki
Poster
Wed 14:30 The role of over-parametrization in generalization of neural networks
Behnam Neyshabur · Zhiyuan Li · Srinadh Bhojanapalli · Yann LeCun · Nathan Srebro
Poster
Wed 14:30 InfoBot: Transfer and Exploration via the Information Bottleneck
Anirudh Goyal · Riashat Islam · DJ Strouse · Zafarali Ahmed · Hugo Larochelle · Matthew Botvinick · Sergey Levine · Yoshua Bengio