Wojciech Zaremba — all works
- Intriguing properties of neural networksarXiv:1312.6199Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, et al.2013 · 5,999 citations
- Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World ↗arXiv:1703.06907 · no summary yetJosh Tobin et al.2017 · 3,092 citations
- Spectral Networks and Locally Connected Networks on Graphs ↗arXiv (Cornell University) · no summary yetJoan Bruna et al.2013 · 2,651 citations
- Recurrent Neural Network RegularizationarXiv:1409.2329Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals2014 · 2,412 citations
- Improved Techniques for Training GANsarXiv:1606.03498Tim Salimans, Ian Goodfellow, Wojciech Zaremba, et al.2016 · 1,558 citations
- An Empirical Exploration of Recurrent Network Architectures ↗no summary yetRafał Józefowicz, Wojciech Zaremba, Ilya Sutskever2015 · 1,415 citations
- Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation ↗arXiv (Cornell University) · no summary yetEmily Denton et al.2014 · 1,388 citations
- Sequence Level Training with Recurrent Neural NetworksarXiv:1511.06732Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, et al.2015 · 1,370 citations
- Addressing the Rare Word Problem in Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Thang Luong, Ilya Sutskever, Quoc Le, et al.2015 · 832 citations
- OpenAI Gym ↗arXiv:1606.01540 · no summary yetGreg Brockman et al.2016 · 829 citations
- Overcoming Exploration in Reinforcement Learning with Demonstrations ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetAshvin Nair et al.2018 · 708 citations
- Solving Rubik's Cube with a Robot Hand ↗arXiv:1910.07113 · no summary yetOpenAI et al.2019 · 647 citations
- Hindsight Experience Replay ↗arXiv:1707.01495 · no summary yetMarcin Andrychowicz et al.2017 · 421 citations
- Learning to Execute ↗arXiv:1410.4615 · no summary yetWojciech Zaremba, Ilya Sutskever2014 · 388 citations
- Asymmetric Actor Critic for Image-Based Robot Learning ↗arXiv:1710.06542 · no summary yetLerrel Pinto et al.2018 · 370 citations
- One-Shot Imitation Learning ↗neural information processing systems · no summary yetYan Duan et al.2017 · 235 citations
- Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research ↗arXiv (Cornell University) · no summary yetMatthias Plappert et al.2018 · 192 citations
- Domain Randomization and Generative Models for Robotic Grasping ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetJoshua Tobin et al.2018 · 160 citations
- Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model ↗arXiv (Cornell University) · no summary yetPaul F. Christiano et al.2016 · 159 citations
- Reinforcement Learning Neural Turing Machines - Revised ↗arXiv:1505.00521 · no summary yetWojciech Zaremba, Ilya Sutskever2015 · 139 citations
- Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation ↗arXiv:2503.11926 · no summary yetBowen Baker et al.2025 · 63 citations
- Deep neural networks predict category typicality ratings for images ↗no summary yetBrenden M. Lake et al.2015 · 57 citations
- Learning to Discover Efficient Mathematical Identities ↗arXiv (Cornell University) · no summary yetWojciech Zaremba, Karol Kurach, Rob Fergus2014 · 42 citations
- Learning Simple Algorithms from Examples ↗arXiv (Cornell University) · no summary yetWojciech Zaremba et al.2015 · 41 citations
- JaBEE ↗no summary yetWojciech Zaremba, Yuan Lin, Vinod Grover2012 · 36 citations
- Asymmetric self-play for automatic goal discovery in robotic manipulation ↗arXiv (Cornell University) · no summary yetOpenAI OpenAI et al.2021 · 25 citations
- B-test: A Non-parametric, Low Variance Kernel Two-sample Test ↗arXiv (Cornell University) · no summary yetWojciech Zaremba, Arthur Gretton, Matthew B. Blaschko2013 · 17 citations
- Extensions and Limitations of the Neural GPU ↗arXiv:1611.00736 · no summary yetEric Price, Wojciech Zaremba, Ilya Sutskever2016 · 16 citations
- Trading Inference-Time Compute for Adversarial Robustness ↗arXiv (Cornell University) · no summary yetWojciech Zaremba et al.2025 · 14 citations
- Scale-invariant learning and convolutional networks ↗Applied and Computational Harmonic Analysis · no summary yetSoumith Chintala et al.2016 · 10 citations
- Taxonomic Prediction with Tree-Structured Covariances ↗Lecture notes in computer science · no summary yetMatthew B. Blaschko, Wojciech Zaremba, Arthur Gretton2013 · 9 citations
- Base-Axiom Initialization for Deliberative Alignment - A qualitative approach to Stress Testing Deliberative Alignment for Anti Scheming Training - ↗arXiv (Cornell University) · no summary yetBronson Schoen et al.2025 · 7 citations
- Learning from M/EEG Data with Variable Brain Activation Delays ↗Lecture notes in computer science · no summary yetWojciech Zaremba et al.2013 · 6 citations
- A Generalizable Approach to Learning Optimizers ↗arXiv (Cornell University) · no summary yetAlmeida, Diogo et al.2021 · 5 citations
- Discriminative training of CRF models with probably submodular constraints ↗IEEE Winter Conference on Applications of Computer Vision · no summary yetWojciech Zaremba, Matthew B. Blaschko2016 · 5 citations
- Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models ↗arXiv (Cornell University) · no summary yetLei M. Zhang, Matthias Plappert, Wojciech Zaremba2020 · 1 citation
- Modeling the variability of EEG/MEG data through statistical machine learning ↗INRIA a CCSD electronic archive server · no summary yetWojciech Zaremba2012 · 1 citation
- Exploiting linear structure within convolutional networks for efficient evaluation,” arXiv:1404.0736 ↗no summary yetEmily Denton et al.2014
- Jabee: framework for objectoriented Java bytecode compilation and execution on graphics processor units ↗no summary yetWojciech Zaremba, Yuan Lin, Vinod Grover2012
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