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Oral
Tue 13:45 Learning Robust Representations by Projecting Superficial Statistics Out
Haohan Wang · Zexue He · Zachary Lipton · Eric P Xing
Poster
Tue 9:00 Differentiable Learning-to-Normalize via Switchable Normalization
Ping Luo · jiamin ren · zhanglin peng · Ruimao Zhang · Jingyu Li
Poster
Tue 9:00 Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces
Senthil Purushwalkam · Abhinav Gupta · Danny Kaufman · Bryan Russell
Poster
Tue 9:00 StrokeNet: A Neural Painting Environment
Ningyuan Zheng · Yf Jiang · Dingjiang Huang
Poster
Tue 9:00 Value Propagation Networks
Nantas Nardelli · Gabriel Synnaeve · Zeming Lin · Pushmeet Kohli · Philip Torr · Nicolas Usunier
Poster
Thu 9:00 Unsupervised Hyper-alignment for Multilingual Word Embeddings
Jean Alaux-Lorain · Edouard Grave · marco cuturi · Armand Joulin
Poster
Tue 14:30 Whitening and Coloring Batch Transform for GANs
Aliaksandr Siarohin · Enver Sangineto · Nicu Sebe
Poster
Wed 14:30 Theoretical Analysis of Auto Rate-Tuning by Batch Normalization
Sanjeev Arora · Zhiyuan Li · Kaifeng Lyu
Poster
Tue 14:30 Generalizable Adversarial Training via Spectral Normalization
Farzan Farnia · Jesse Zhang · David Tse
Poster
Tue 9:00 Equi-normalization of Neural Networks
Pierre Stock · Benjamin Graham · Rémi Gribonval · Hervé Jégou
Poster
Tue 9:00 K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning
Pramod Kaushik Mudrakarta · Mark Sandler · Andrey Zhmoginov · Andrew Howard
Poster
Wed 14:30 Towards Understanding Regularization in Batch Normalization
Ping Luo · Xinjiang Wang · wenqi shao · Zhanglin Peng