---
title: "Wojciech Zaremba — all works — Elamur Research"
description: "All 39 works of Wojciech Zaremba in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Wojciech Zaremba — all works

39 works · [← Wojciech Zaremba](https://md.research.elamur.ai/free/en/authors/wojciech-zaremba/)

1. [**Intriguing properties of neural networks arXiv:1312.6199**Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, et al.*2013 · 5,999 citations*](https://md.research.elamur.ai/free/en/papers/szegedy-2013-intriguing-properties-neural-networks/)
2. **[Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World ↗](https://arxiv.org/abs/1703.06907) arXiv:1703.06907 · no summary yet**Josh Tobin et al.*2017 · 3,092 citations*
3. **[Spectral Networks and Locally Connected Networks on Graphs ↗](https://arxiv.org/abs/1312.6203) arXiv (Cornell University) · no summary yet**Joan Bruna et al.*2013 · 2,651 citations*
4. [**Recurrent Neural Network Regularization arXiv:1409.2329**Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals*2014 · 2,412 citations*](https://md.research.elamur.ai/free/en/papers/zaremba-2014-recurrent-neural-network-regularization/)
5. [**Improved Techniques for Training GANs arXiv:1606.03498**Tim Salimans, Ian Goodfellow, Wojciech Zaremba, et al.*2016 · 1,558 citations*](https://md.research.elamur.ai/free/en/papers/salimans-2016-improved-techniques-training-gans/)
6. **[An Empirical Exploration of Recurrent Network Architectures ↗](https://openalex.org/W581956982) no summary yet**Rafał Józefowicz, Wojciech Zaremba, Ilya Sutskever*2015 · 1,415 citations*
7. **[Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation ↗](https://arxiv.org/abs/1404.0736) arXiv (Cornell University) · no summary yet**Emily Denton et al.*2014 · 1,388 citations*
8. [**Sequence Level Training with Recurrent Neural Networks arXiv:1511.06732**Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, et al.*2015 · 1,370 citations*](https://md.research.elamur.ai/free/en/papers/ranzato-2015-sequence-level-training-recurrent-neural/)
9. **[Addressing the Rare Word Problem in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/luong-2015-addressing-rare-word-problem-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Thang Luong, Ilya Sutskever, Quoc Le, et al.*2015 · 832 citations*
10. **[OpenAI Gym ↗](https://arxiv.org/abs/1606.01540) arXiv:1606.01540 · no summary yet**Greg Brockman et al.*2016 · 829 citations*
11. **[Overcoming Exploration in Reinforcement Learning with Demonstrations ↗](https://doi.org/10.1109/icra.2018.8463162) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Ashvin Nair et al.*2018 · 708 citations*
12. **[Solving Rubik's Cube with a Robot Hand ↗](https://arxiv.org/abs/1910.07113) arXiv:1910.07113 · no summary yet**OpenAI et al.*2019 · 647 citations*
13. **[Hindsight Experience Replay ↗](https://arxiv.org/abs/1707.01495) arXiv:1707.01495 · no summary yet**Marcin Andrychowicz et al.*2017 · 421 citations*
14. **[Learning to Execute ↗](https://arxiv.org/abs/1410.4615) arXiv:1410.4615 · no summary yet**Wojciech Zaremba, Ilya Sutskever*2014 · 388 citations*
15. **[Asymmetric Actor Critic for Image-Based Robot Learning ↗](https://doi.org/10.15607/rss.2018.xiv.008) arXiv:1710.06542 · no summary yet**Lerrel Pinto et al.*2018 · 370 citations*
16. **[One-Shot Imitation Learning ↗](https://openalex.org/W2963094133) neural information processing systems · no summary yet**Yan Duan et al.*2017 · 235 citations*
17. **[Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research ↗](https://arxiv.org/abs/1802.09464) arXiv (Cornell University) · no summary yet**Matthias Plappert et al.*2018 · 192 citations*
18. **[Domain Randomization and Generative Models for Robotic Grasping ↗](https://doi.org/10.1109/iros.2018.8593933) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yet**Joshua Tobin et al.*2018 · 160 citations*
19. **[Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model ↗](https://arxiv.org/abs/1610.03518) arXiv (Cornell University) · no summary yet**Paul F. Christiano et al.*2016 · 159 citations*
20. **[Reinforcement Learning Neural Turing Machines - Revised ↗](https://arxiv.org/abs/1505.00521) arXiv:1505.00521 · no summary yet**Wojciech Zaremba, Ilya Sutskever*2015 · 139 citations*
21. **[Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation ↗](https://arxiv.org/abs/2503.11926) arXiv:2503.11926 · no summary yet**Bowen Baker et al.*2025 · 63 citations*
22. **[Deep neural networks predict category typicality ratings for images ↗](https://openalex.org/W2404596811) no summary yet**Brenden M. Lake et al.*2015 · 57 citations*
23. **[Learning to Discover Efficient Mathematical Identities ↗](https://arxiv.org/abs/1406.1584) arXiv (Cornell University) · no summary yet**Wojciech Zaremba, Karol Kurach, Rob Fergus*2014 · 42 citations*
24. **[Learning Simple Algorithms from Examples ↗](https://arxiv.org/abs/1511.07275) arXiv (Cornell University) · no summary yet**Wojciech Zaremba et al.*2015 · 41 citations*
25. **[JaBEE ↗](https://doi.org/10.1145/2159430.2159439) no summary yet**Wojciech Zaremba, Yuan Lin, Vinod Grover*2012 · 36 citations*
26. **[Asymmetric self-play for automatic goal discovery in robotic manipulation ↗](https://arxiv.org/abs/2101.04882) arXiv (Cornell University) · no summary yet**OpenAI OpenAI et al.*2021 · 25 citations*
27. **[B-test: A Non-parametric, Low Variance Kernel Two-sample Test ↗](https://arxiv.org/abs/1307.1954) arXiv (Cornell University) · no summary yet**Wojciech Zaremba, Arthur Gretton, Matthew B. Blaschko*2013 · 17 citations*
28. **[Extensions and Limitations of the Neural GPU ↗](https://arxiv.org/abs/1611.00736) arXiv:1611.00736 · no summary yet**Eric Price, Wojciech Zaremba, Ilya Sutskever*2016 · 16 citations*
29. **[Trading Inference-Time Compute for Adversarial Robustness ↗](https://arxiv.org/abs/2501.18841) arXiv (Cornell University) · no summary yet**Wojciech Zaremba et al.*2025 · 14 citations*
30. **[Scale-invariant learning and convolutional networks ↗](https://doi.org/10.1016/j.acha.2016.06.005) Applied and Computational Harmonic Analysis · no summary yet**Soumith Chintala et al.*2016 · 10 citations*
31. **[Taxonomic Prediction with Tree-Structured Covariances ↗](https://doi.org/10.1007/978-3-642-40991-2_20) Lecture notes in computer science · no summary yet**Matthew B. Blaschko, Wojciech Zaremba, Arthur Gretton*2013 · 9 citations*
32. **[Base-Axiom Initialization for Deliberative Alignment - A qualitative approach to Stress Testing Deliberative Alignment for Anti Scheming Training - ↗](https://arxiv.org/abs/2509.15541) arXiv (Cornell University) · no summary yet**Bronson Schoen et al.*2025 · 7 citations*
33. **[Learning from M/EEG Data with Variable Brain Activation Delays ↗](https://doi.org/10.1007/978-3-642-38868-2_35) Lecture notes in computer science · no summary yet**Wojciech Zaremba et al.*2013 · 6 citations*
34. **[A Generalizable Approach to Learning Optimizers ↗](https://arxiv.org/abs/2106.00958) arXiv (Cornell University) · no summary yet**Almeida, Diogo et al.*2021 · 5 citations*
35. **[Discriminative training of CRF models with probably submodular constraints ↗](https://doi.org/10.1109/wacv.2016.7477696) IEEE Winter Conference on Applications of Computer Vision · no summary yet**Wojciech Zaremba, Matthew B. Blaschko*2016 · 5 citations*
36. **[Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models ↗](https://arxiv.org/abs/2009.12864) arXiv (Cornell University) · no summary yet**Lei M. Zhang, Matthias Plappert, Wojciech Zaremba*2020 · 1 citation*
37. **[Modeling the variability of EEG/MEG data through statistical machine learning ↗](https://theses.hal.science/tel-00803958) INRIA a CCSD electronic archive server · no summary yet**Wojciech Zaremba*2012 · 1 citation*
38. **[Exploiting linear structure within convolutional networks for efficient evaluation,” arXiv:1404.0736 ↗](https://openalex.org/W7098700524) no summary yet**Emily Denton et al.*2014*
39. **[Jabee: framework for objectoriented Java bytecode compilation and execution on graphics processor units ↗](https://openalex.org/W7097242686) no summary yet**Wojciech Zaremba, Yuan Lin, Vinod Grover*2012*