Wojciech Zaremba

According to our database, Wojciech Zaremba authored at least 44 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

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, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba

CoRR, 2021

A Generalizable Approach to Learning Optimizers.

Diogo Almeida, Clemens Winter, Jie Tang, Wojciech Zaremba

CoRR, 2021

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, Qiming Yuan, Casey Chu, Wojciech Zaremba

CoRR, 2021

2020

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, Peter Welinder, Lilian Weng, Wojciech Zaremba

Int. J. Robotics Res., 2020

Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models.

Lei M. Zhang, Matthias Plappert, Wojciech Zaremba

CoRR, 2020

2019

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 Tworek, Peter Welinder, Lilian Weng, Qiming Yuan, Wojciech Zaremba, Lei Zhang

CoRR, 2019

Geometry-Aware Neural Rendering.

Joshua Tobin, Wojciech Zaremba, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

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 Tobin, Peter Welinder, Lilian Weng, Wojciech Zaremba

CoRR, 2018

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research.

Matthias Plappert, Marcin Andrychowicz, Alex Ray, Bob McGrew, Bowen Baker, Glenn Powell, Jonas Schneider, Josh Tobin, Maciek Chociej, Peter Welinder, Vikash Kumar, Wojciech Zaremba

CoRR, 2018

Asymmetric Actor Critic for Image-Based Robot Learning.

Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, Pieter Abbeel

Proceedings of the Robotics: Science and Systems XIV, 2018

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

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization.

Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Overcoming Exploration in Reinforcement Learning with Demonstrations.

Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Domain Randomization and Generative Models for Robotic Grasping.

Joshua Tobin, Wojciech Zaremba, Pieter Abbeel

CoRR, 2017

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World.

Joshua Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel

CoRR, 2017

Hindsight Experience Replay.

Marcin Andrychowicz, Filip Wolski, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, Pieter Abbeel, Wojciech Zaremba

CoRR, 2017

One-Shot Imitation Learning.

Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Hindsight Experience Replay.

Marcin Andrychowicz, Dwight Crow, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, Pieter Abbeel, Wojciech Zaremba

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Domain randomization for transferring deep neural networks from simulation to the real world.

Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Learning Algorithms from Data.

Wojciech Zaremba

PhD thesis, 2016

Sequence Level Training with Recurrent Neural Networks.

Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba

Proceedings of the 4th International Conference on Learning Representations, 2016

Extensions and Limitations of the Neural GPU.

Eric Price, Wojciech Zaremba, Ilya Sutskever

CoRR, 2016

Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model.

Paul F. Christiano, Zain Shah, Igor Mordatch, Jonas Schneider, Trevor Blackwell, Joshua Tobin, Pieter Abbeel, Wojciech Zaremba

CoRR, 2016

OpenAI Gym.

Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, Wojciech Zaremba

CoRR, 2016

Discriminative training of CRF models with probably submodular constraints.

Wojciech Zaremba, Matthew B. Blaschko

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Improved Techniques for Training GANs.

Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Simple Algorithms from Examples.

Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Reinforcement Learning Neural Turing Machines.

Wojciech Zaremba, Ilya Sutskever

CoRR, 2015

Scale-invariant learning and convolutional networks.

Soumith Chintala, Marc'Aurelio Ranzato, Arthur Szlam, Yuandong Tian, Mark Tygert, Wojciech Zaremba

CoRR, 2015

An Empirical Exploration of Recurrent Network Architectures.

Rafal Józefowicz, Wojciech Zaremba, Ilya Sutskever

Proceedings of the 32nd International Conference on Machine Learning, 2015

Deep Neural Networks Predict Category Typicality Ratings for Images.

Brenden M. Lake, Wojciech Zaremba, Rob Fergus, Todd M. Gureckis

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Addressing the Rare Word Problem in Neural Machine Translation.

Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Recurrent Neural Network Regularization.

Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals

CoRR, 2014

Learning to Execute.

Wojciech Zaremba, Ilya Sutskever

CoRR, 2014

Intriguing properties of neural networks.

Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, Rob Fergus

Proceedings of the 2nd International Conference on Learning Representations, 2014

Spectral Networks and Locally Connected Networks on Graphs.

Joan Bruna, Wojciech Zaremba, Arthur Szlam, Yann LeCun

Proceedings of the 2nd International Conference on Learning Representations, 2014

Learning to Discover Efficient Mathematical Identities.

Wojciech Zaremba, Karol Kurach, Rob Fergus

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation.

Emily L. Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Taxonomic Prediction with Tree-Structured Covariances.

Matthew B. Blaschko, Wojciech Zaremba, Arthur Gretton

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

B-test: A Non-parametric, Low Variance Kernel Two-sample Test.

Wojciech Zaremba, Arthur Gretton, Matthew B. Blaschko

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning from M/EEG Data with Variable Brain Activation Delays.

Wojciech Zaremba, M. Pawan Kumar, Alexandre Gramfort, Matthew B. Blaschko

Proceedings of the Information Processing in Medical Imaging, 2013

2012

JaBEE: framework for object-oriented Java bytecode compilation and execution on graphics processor units.

Wojciech Zaremba, Yuan Lin, Vinod Grover

Proceedings of the 5th Annual Workshop on General Purpose Processing with Graphics Processing Units, 2012

Modeling the variability of EEG/MEG data through statistical machine learning.

Wojciech Zaremba

, 2012

2008

Extending web applications with a lightweight zero knowledge proof authentication.

Slawomir Grzonkowski, Wojciech Zaremba, Maciej Zaremba, Bill McDaniel

Proceedings of the CSTST 2008: Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, 2008