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Poster
Tue 14:30 DISTRIBUTIONAL CONCAVITY REGULARIZATION FOR GANS
Shoichiro Yamaguchi · Masanori Koyama
Poster
Wed 9:00 Measuring and regularizing networks in function space
Ari S Benjamin · David Rolnick · Konrad P Kording
Poster
Wed 14:30 Towards Understanding Regularization in Batch Normalization
Ping Luo · Xinjiang Wang · wenqi shao · Zhanglin Peng
Poster
Wed 14:30 ProxQuant: Quantized Neural Networks via Proximal Operators
Yu Bai · Yu-Xiang Wang · Edo Liberty
Poster
Wed 9:00 Soft Q-Learning with Mutual-Information Regularization
Jordi Grau-Moya · Felix Leibfried · Peter Vrancx
Poster
Tue 14:30 Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
David Berthelot · Colin Raffel · Aurko Roy · Ian Goodfellow
Poster
Thu 14:30 MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
Xuezhe Ma · Chunting Zhou · Eduard Hovy
Poster
Tue 9:00 Random mesh projectors for inverse problems
Konik Kothari · Sidharth Gupta · Maarten V de Hoop · Ivan Dokmanic
Poster
Wed 14:30 Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization
Navid Azizan · Babak Hassibi
Poster
Tue 9:00 DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS
Xingjian Li · Haoyi Xiong · Hanchao Wang · Yuxuan Rao · Liping Liu · Luke Huan
Poster
Tue 14:30 Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability
Kai Xiao · Vincent Tjeng · Nur Muhammad Shafiullah · Aleksander Madry
Poster
Tue 9:00 Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
Mikael Henaff · Alfredo Canziani · Yann LeCun