firstbacksecondback
17 Results
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 |