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Taxonomic Prediction with Tree-Structured Covariances.
Matthew B. Blaschko, Wojciech Zaremba, Arthur Gretton: Taxonomic Prediction with Tree-Structured Covariances. ECML/PKDD (2) 2013: 304-319
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B-test: A Non-parametric, Low Variance Kernel Two-sample Test.
Wojciech Zaremba, Arthur Gretton, Matthew B. Blaschko: B-test: A Non-parametric, Low Variance Kernel Two-sample Test. NIPS 2013: 755-763
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Learning from M/EEG Data with Variable Brain Activation Delays.
Wojciech Zaremba, M. Pawan Kumar, Alexandre Gramfort, Matthew B. Blaschko: Learning from M/EEG Data with Variable Brain Activation Delays. IPMI 2013: 414-425
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Addressing the Rare Word Problem in Neural Machine Translation.
Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba: Addressing the Rare Word Problem in Neural Machine Translation. CoRR abs/1410.8206 (2014)
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Learning to Execute.
Wojciech Zaremba, Ilya Sutskever: Learning to Execute. CoRR abs/1410.4615 (2014)
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Recurrent Neural Network Regularization.
Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals: Recurrent Neural Network Regularization. CoRR abs/1409.2329 (2014)
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Learning to Discover Efficient Mathematical Identities.
Wojciech Zaremba, Karol Kurach, Rob Fergus: Learning to Discover Efficient Mathematical Identities. CoRR abs/1406.1584 (2014)
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Exploiting Linear Structure Within Convolutional Networks for Efficient...
Emily Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus: Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. CoRR abs/1404.0736 (2014)
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Intriguing properties of neural networks.
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, Rob Fergus: Intriguing properties of neural networks. ICLR (Poster) 2014
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Spectral Networks and Locally Connected Networks on Graphs.
Joan Bruna, Wojciech Zaremba, Arthur Szlam, Yann LeCun: Spectral Networks and Locally Connected Networks on Graphs. ICLR 2014
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Learning to Discover Efficient Mathematical Identities.
Wojciech Zaremba, Karol Kurach, Rob Fergus: Learning to Discover Efficient Mathematical Identities. NIPS 2014: 1278-1286
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Exploiting Linear Structure Within Convolutional Networks for Efficient...
Emily L. Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus: Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. NIPS 2014: 1269-1277
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Learning Simple Algorithms from Examples.
Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus: Learning Simple Algorithms from Examples. CoRR abs/1511.07275 (2015)
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Scale-invariant learning and convolutional networks.
Soumith Chintala, Marc'Aurelio Ranzato, Arthur Szlam, Yuandong Tian, Mark Tygert, Wojciech Zaremba: Scale-invariant learning and convolutional networks. CoRR abs/1506.08230 (2015)
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Reinforcement Learning Neural Turing Machines.
Wojciech Zaremba, Ilya Sutskever: Reinforcement Learning Neural Turing Machines. CoRR abs/1505.00521 (2015)
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An Empirical Exploration of Recurrent Network Architectures.
Rafal Józefowicz, Wojciech Zaremba, Ilya Sutskever: An Empirical Exploration of Recurrent Network Architectures. ICML 2015: 2342-2350
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Deep Neural Networks Predict Category Typicality Ratings for Images.
Brenden M. Lake, Wojciech Zaremba, Rob Fergus, Todd M. Gureckis: Deep Neural Networks Predict Category Typicality Ratings for Images. CogSci 2015
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Addressing the Rare Word Problem in Neural Machine Translation.
Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba: Addressing the Rare Word Problem in Neural Machine Translation. ACL (1) 2015: 11-19
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Extensions and Limitations of the Neural GPU.
Eric Price, Wojciech Zaremba, Ilya Sutskever: Extensions and Limitations of the Neural GPU. CoRR abs/1611.00736 (2016)
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Transfer from Simulation to Real World through Learning Deep Inverse Dynamics...
Paul F. Christiano, Zain Shah, Igor Mordatch, Jonas Schneider, Trevor Blackwell, Joshua Tobin, Pieter Abbeel, Wojciech Zaremba: Transfer from Simulation to Real World through Learning Deep Inverse...
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Improved Techniques for Training GANs.
Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen: Improved Techniques for Training GANs. CoRR abs/1606.03498 (2016)
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OpenAI Gym.
Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, Wojciech Zaremba: OpenAI Gym. CoRR abs/1606.01540 (2016)
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Sequence Level Training with Recurrent Neural Networks.
Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba: Sequence Level Training with Recurrent Neural Networks. ICLR (Poster) 2016
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Discriminative training of CRF models with probably submodular constraints.
Wojciech Zaremba, Matthew B. Blaschko: Discriminative training of CRF models with probably submodular constraints. WACV 2016: 1-7
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Improved Techniques for Training GANs.
Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen: Improved Techniques for Training GANs. NIPS 2016: 2226-2234
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Learning Simple Algorithms from Examples.
Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus: Learning Simple Algorithms from Examples. ICML 2016: 421-429
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Learning Algorithms from Data.
Wojciech Zaremba: Learning Algorithms from Data. New York University, USA, 2016
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Asymmetric Actor Critic for Image-Based Robot Learning.
Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, Pieter Abbeel: Asymmetric Actor Critic for Image-Based Robot Learning. CoRR abs/1710.06542 (2017)
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Sim-to-Real Transfer of Robotic Control with Dynamics Randomization.
Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel: Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. CoRR abs/1710.06537 (2017)
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Domain Randomization and Generative Models for Robotic Grasping.
Joshua Tobin, Wojciech Zaremba, Pieter Abbeel: Domain Randomization and Generative Models for Robotic Grasping. CoRR abs/1710.06425 (2017)
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Overcoming Exploration in Reinforcement Learning with Demonstrations.
Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel: Overcoming Exploration in Reinforcement Learning with Demonstrations. CoRR abs/1709.10089 (2017)
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Hindsight Experience Replay.
Marcin Andrychowicz, Filip Wolski, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, Pieter Abbeel, Wojciech Zaremba: Hindsight Experience Replay. CoRR abs/1707.01495 (2017)
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One-Shot Imitation Learning.
Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba: One-Shot Imitation Learning. CoRR abs/1703.07326 (2017)
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Domain Randomization for Transferring Deep Neural Networks from Simulation to...
Joshua Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel: Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World. CoRR abs/1703.06907...
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Hindsight Experience Replay.
Marcin Andrychowicz, Dwight Crow, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, Pieter Abbeel, Wojciech Zaremba: Hindsight Experience Replay. NIPS 2017: 5048-5058
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One-Shot Imitation Learning.
Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba: One-Shot Imitation Learning. NIPS 2017: 1087-1098
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Domain randomization for transferring deep neural networks from simulation to...
Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel: Domain randomization for transferring deep neural networks from simulation to the real world. IROS 2017: 23-30
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Learning Dexterous In-Hand Manipulation.
OpenAI, Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Józefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, Jonas Schneider, Szymon Sidor, Josh...
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Multi-Goal Reinforcement Learning: Challenging Robotics Environments and...
Matthias Plappert, Marcin Andrychowicz, Alex Ray, Bob McGrew, Bowen Baker, Glenn Powell, Jonas Schneider, Josh Tobin, Maciek Chociej, Peter Welinder, Vikash Kumar, Wojciech Zaremba: Multi-Goal...
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Asymmetric Actor Critic for Image-Based Robot Learning.
Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, Pieter Abbeel: Asymmetric Actor Critic for Image-Based Robot Learning. Robotics: Science and Systems 2018
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Domain Randomization and Generative Models for Robotic Grasping.
Josh Tobin, Lukas Biewald, Rocky Duan, Marcin Andrychowicz, Ankur Handa, Vikash Kumar, Bob McGrew, Alex Ray, Jonas Schneider, Peter Welinder, Wojciech Zaremba, Pieter Abbeel: Domain Randomization and...
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Overcoming Exploration in Reinforcement Learning with Demonstrations.
Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel: Overcoming Exploration in Reinforcement Learning with Demonstrations. ICRA 2018: 6292-6299
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Sim-to-Real Transfer of Robotic Control with Dynamics Randomization.
Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel: Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. ICRA 2018: 1-8
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Solving Rubik's Cube with a Robot Hand.
OpenAI, Ilge Akkaya, Marcin Andrychowicz, Maciek Chociej, Mateusz Litwin, Bob McGrew, Arthur Petron, Alex Paino, Matthias Plappert, Glenn Powell, Raphael Ribas, Jonas Schneider, Nikolas Tezak, Jerry...
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Geometry-Aware Neural Rendering.
Joshua Tobin, Wojciech Zaremba, Pieter Abbeel: Geometry-Aware Neural Rendering. NeurIPS 2019: 11555-11565
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Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models.
Lei M. Zhang, Matthias Plappert, Wojciech Zaremba: Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models. CoRR abs/2009.12864 (2020)
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Learning dexterous in-hand manipulation.
Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Józefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, Jonas Schneider, Szymon Sidor, Josh Tobin,...
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Evaluating Large Language Models Trained on Code.
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé de Oliveira Pinto, Jared Kaplan, Harrison Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger,...
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A Generalizable Approach to Learning Optimizers.
Diogo Almeida, Clemens Winter, Jie Tang, Wojciech Zaremba: A Generalizable Approach to Learning Optimizers. CoRR abs/2106.00958 (2021)
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Asymmetric self-play for automatic goal discovery in robotic manipulation.
OpenAI, Matthias Plappert, Raul Sampedro, Tao Xu, Ilge Akkaya, Vineet Kosaraju, Peter Welinder, Ruben D'Sa, Arthur Petron, Henrique Pondé de Oliveira Pinto, Alex Paino, Hyeonwoo Noh, Lilian Weng,...
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