Zaremba, Wojciech

14 publications

NeurIPS 2019 Geometry-Aware Neural Rendering Joshua Tobin, Wojciech Zaremba, Pieter Abbeel

NeurIPS 2017 Hindsight Experience Replay Marcin Andrychowicz, Filip Wolski, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, OpenAI Pieter Abbeel, Wojciech Zaremba

NeurIPS 2017 One-Shot Imitation Learning Yan Duan, Marcin Andrychowicz, Bradly Stadie, OpenAI Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba

WACV 2016 Discriminative Training of CRF Models with Probably Submodular Constraints Wojciech Zaremba, Matthew B. Blaschko

NeurIPS 2016 Improved Techniques for Training GANs Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen, Xi Chen

ICML 2016 Learning Simple Algorithms from Examples Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob Fergus

ICLR 2016 Sequence Level Training with Recurrent Neural Networks Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba

ICML 2015 An Empirical Exploration of Recurrent Network Architectures Rafal Jozefowicz, Wojciech Zaremba, Ilya Sutskever

NeurIPS 2014 Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation Emily L Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus

ICLR 2014 Intriguing Properties of Neural Networks Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, Rob Fergus

NeurIPS 2014 Learning to Discover Efficient Mathematical Identities Wojciech Zaremba, Karol Kurach, Rob Fergus

ICLR 2014 Spectral Networks and Locally Connected Networks on Graphs Joan Bruna, Wojciech Zaremba, Arthur Szlam, Yann LeCun

NeurIPS 2013 B-Test: A Non-Parametric, Low Variance Kernel Two-Sample Test Wojciech Zaremba, Arthur Gretton, Matthew Blaschko

ECML-PKDD 2013 Taxonomic Prediction with Tree-Structured Covariances Matthew B. Blaschko, Wojciech Zaremba, Arthur Gretton