Zaremba, Wojciech

Intriguing properties of neural networks

Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., & Fergus, R. (2013) · arXiv

Adversarial Robustness in Machine LearningNeural Networks and Applications

Cited by 8,143

Improved Techniques for Training GANs

Salimans, T., Goodfellow, I., Zaremba, W., Cheung, V., Radford, A., & Chen, X. (2016) · arXiv

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 6,965

Spectral Networks and Locally Connected Networks on Graphs

Bruna, J., Zaremba, W., Szlam, A., & LeCun, Y. (2013) · arXiv

Advanced Graph Neural NetworksNeural Networks and Applications

Cited by 3,983

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

Tobin, J., Fong, R., Ray, A., Schneider, J., Zaremba, W., & Abbeel, P. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 3,124

Learning dexterous in-hand manipulation

Andrychowicz, O. M., Baker, B., Chociej, M., Józefowicz, R., McGrew, B., Pachocki, J., Petron, A., Plappert, M., Powell, G., Ray, A., et al. (2020) · The International Journal of Robotics Research

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 1,643

Evaluating Large Language Models Trained on Code

Chen, M., Tworek, J., Jun, H., Yuan, Q., Pinto, H. P. D. O., Kaplan, J., Edwards, H., Burda, Y., Joseph, N., Brockman, G., et al. (2021) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 1,436

Sequence Level Training with Recurrent Neural Networks

Ranzato, M., Chopra, S., Auli, M., & Zaremba, W. (2015) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 1,426

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation

Denton, R., Zaremba, W., Bruna, J., LeCun, Y., & Fergus, R. (2014) · arXiv

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 1,414

Hindsight experience replay

Andrychowicz, M., Wolski, F., Ray, A., Schneider, J., Fong, R., Welinder, P., McGrew, B., Tobin, J., Abbeel, P., & Zaremba, W. (2017) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 1,355

Overcoming Exploration in Reinforcement Learning with Demonstrations

Nair, A., McGrew, B., Andrychowicz, M., Zaremba, W., & Abbeel, P. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 712

Solving Rubik's Cube with a Robot Hand

OpenAI, Akkaya, I., Andrychowicz, M., Chociej, M., Litwin, M., McGrew, B., Petron, A., Paino, A., Plappert, M., Powell, G., et al. (2019) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 602

OpenAI Gym

Brockman, G., Cheung, V., Pettersson, L., Schneider, J., Schulman, J., Tang, J., & Zaremba, W. (2016) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 582

GPT-4o System Card

OpenAI, :, Hurst, A., Lerer, A., Goucher, A. P., Perelman, A., Ramesh, A., Clark, A., Ostrow, A., Welihinda, A., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 180

OpenAI o1 System Card

OpenAI, :, Jaech, A., Kalai, A., Lerer, A., Richardson, A., El-Kishky, A., Low, A., Helyar, A., Madry, A., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 50

Asymmetric self-play for automatic goal discovery in robotic manipulation

OpenAI, O., Plappert, M., Sampedro, R., Xu, T., Akkaya, I., Kosaraju, V., Welinder, P., D'Sa, R., Petron, A., Pinto, H. P. D. O., et al. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 18

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation

Baker, B., Huizinga, J., Gao, L., Dou, Z., Guan, M. Y., Madry, A., Zaremba, W., Pachocki, J., & Farhi, D. (2025) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 8