Papers

660 papers found
A New Theory for Matrix Completion
Guangcan Liu, Qingshan Liu, Xiaotong Yuan
2017 NIPS
A-NICE-MC: Adversarial Training for MCMC
Jiaming Song, Shengjia Zhao, Stefano Ermon
2017 NIPS
Gaussian Quadrature for Kernel Features
Tri Dao, Christopher M De Sa, Christopher Ré
2017 NIPS
Attentional Pooling for Action Recognition
Rohit Girdhar, Deva Ramanan
2017 NIPS
Sobolev Training for Neural Networks
Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg et al.
2017 NIPS
Recursive Sampling for the Nystrom Method
Cameron Musco, Christopher Musco
2017 NIPS
K-Medoids For K-Means Seeding
James Newling, François Fleuret
2017 NIPS
Parametric Simplex Method for Sparse Learning
Haotian Pang, Han Liu, Robert J Vanderbei et al.
2017 NIPS
On gradient regularizers for MMD GANs
Michael Arbel, Danica J. Sutherland, Mikołaj Bińkowski et al.
2018 NIPS
Sanity Checks for Saliency Maps
Julius Adebayo, Justin Gilmer, Michael Muelly et al.
2018 NIPS
Legendre Decomposition for Tensors
Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
2018 NIPS
On Coresets for Logistic Regression
Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler et al.
2018 NIPS
A Convex Duality Framework for GANs
Farzan Farnia, David Tse
2018 NIPS
Precision and Recall for Time Series
Nesime Tatbul, Tae Jun Lee, Stan Zdonik et al.
2018 NIPS
Mallows Models for Top-k Lists
Flavio Chierichetti, Anirban Dasgupta, Shahrzad Haddadan et al.
2018 NIPS
KONG: Kernels for ordered-neighborhood graphs
Moez Draief, Konstantin Kutzkov, Kevin Scaman et al.
2018 NIPS
Loss Functions for Multiset Prediction
Sean Welleck, Zixin Yao, Yu Gai et al.
2018 NIPS
Learning to Propagate for Graph Meta-Learning
LU LIU, Tianyi Zhou, Guodong Long et al.
2019 NIPS
Likelihood Ratios for Out-of-Distribution Detection
Jie Ren, Peter J. Liu, Emily Fertig et al.
2019 NIPS
Focused Quantization for Sparse CNNs
Yiren Zhao, Xitong Gao, Daniel Bates et al.
2019 NIPS
Variance Reduction for Matrix Games
Yair Carmon, Yujia Jin, Aaron Sidford et al.
2019 NIPS
Adversarial training for free!
Ali Shafahi, Mahyar Najibi, Mohammad Amin Ghiasi et al.
2019 NIPS
Coresets for Archetypal Analysis
Sebastian Mair, Ulf Brefeld
2019 NIPS
Policy Learning for Fairness in Ranking
Ashudeep Singh, Thorsten Joachims
2019 NIPS
On Testing for Biases in Peer Review
Ivan Stelmakh, Nihar Shah, Aarti Singh
2019 NIPS