Papers
Volumetric Correspondence Networks for Optical Flow
Gengshan Yang, Deva Ramanan
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair, Corey Lynch, Yoshua Bengio et al.
Wasserstein Weisfeiler-Lehman Graph Kernels
Matteo Togninalli, Elisabetta Ghisu, Felipe Llinares-López et al.
Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior
Cheng-Chun Hsu, Kuang-Jui Hsu, Chung-Chi Tsai et al.
Weight Agnostic Neural Networks
Adam Gaier, David Ha
Weighted Linear Bandits for Non-Stationary Environments
Yoan Russac, Claire Vernade, Olivier Cappé
What Can ResNet Learn Efficiently, Going Beyond Kernels?
Zeyuan Allen-Zhu, Yuanzhi Li
What the Vec? Towards Probabilistically Grounded Embeddings
Carl Allen, Ivana Balazevic, Timothy Hospedales
When does label smoothing help?
Rafael Müller, Simon Kornblith, Geoffrey E. Hinton
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner, Justin Fu, Marvin Zhang et al.
When to use parametric models in reinforcement learning?
Hado P van Hasselt, Matteo Hessel, John Aslanides
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
Guodong Zhang, Lala Li, Zachary Nado et al.
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models
Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota et al.
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Jinwoo Choi, Chen Gao, Joseph C. E. Messou et al.
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
Jaehoon Lee, Lechao Xiao, Samuel Schoenholz et al.
Write, Execute, Assess: Program Synthesis with a REPL
Kevin Ellis, Maxwell Nye, Yewen Pu et al.
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang, Zihang Dai, Yiming Yang et al.
XNAS: Neural Architecture Search with Expert Advice
Niv Nayman, Asaf Noy, Tal Ridnik et al.
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Dinghuai Zhang, Tianyuan Zhang, Yiping Lu et al.
Zero-shot Knowledge Transfer via Adversarial Belief Matching
Paul Micaelli, Amos J. Storkey
Zero-shot Learning via Simultaneous Generating and Learning
Hyeonwoo Yu, Beomhee Lee
Zero-Shot Semantic Segmentation
Maxime Bucher, Tuan-Hung VU, Matthieu Cord et al.
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
Xiangyi Chen, Sijia Liu, Kaidi Xu et al.