| Conservative q-learning for offline reinforcement learning A Kumar, A Zhou, G Tucker, S Levine Advances in Neural Information Processing Systems 33, 1179-1191, 2020 | 1599 | 2020 |
| Rethinking attention with performers K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ... arXiv preprint arXiv:2009.14794, 2020 | 1413 | 2020 |
| Explaining how a deep neural network trained with end-to-end learning steers a car M Bojarski, P Yeres, A Choromanska, K Choromanski, B Firner, L Jackel, ... arXiv preprint arXiv:1704.07911, 2017 | 536 | 2017 |
| Socratic models: Composing zero-shot multimodal reasoning with language A Zeng, M Attarian, B Ichter, K Choromanski, A Wong, S Welker, ... arXiv preprint arXiv:2204.00598, 2022 | 380 | 2022 |
| Rt-2: Vision-language-action models transfer web knowledge to robotic control A Brohan, N Brown, J Carbajal, Y Chebotar, X Chen, K Choromanski, ... arXiv preprint arXiv:2307.15818, 2023 | 371 | 2023 |
| Orthogonal random features FXX Yu, AT Suresh, KM Choromanski, DN Holtmann-Rice, S Kumar Advances in neural information processing systems 29, 2016 | 239 | 2016 |
| End to end learning for self-driving cars. arXiv 2016 M Bojarski, D Del Testa, D Dworakowski, B Firner, B Flepp, P Goyal, ... arXiv preprint arXiv:1604.07316 103, 2016 | 172 | 2016 |
| A theoretical and empirical comparison of gradient approximations in derivative-free optimization AS Berahas, L Cao, K Choromanski, K Scheinberg Foundations of Computational Mathematics 22 (2), 507-560, 2022 | 153 | 2022 |
| Effective diversity in population based reinforcement learning J Parker-Holder, A Pacchiano, KM Choromanski, SJ Roberts Advances in Neural Information Processing Systems 33, 18050-18062, 2020 | 148 | 2020 |
| Structured evolution with compact architectures for scalable policy optimization K Choromanski, M Rowland, V Sindhwani, R Turner, A Weller International Conference on Machine Learning, 970-978, 2018 | 146 | 2018 |
| Es-maml: Simple hessian-free meta learning X Song, W Gao, Y Yang, K Choromanski, A Pacchiano, Y Tang arXiv preprint arXiv:1910.01215, 2019 | 132 | 2019 |
| Scale-free graph with preferential attachment and evolving internal vertex structure K Choromański, M Matuszak, J Miȩkisz Journal of Statistical Physics 151, 1175-1183, 2013 | 128 | 2013 |
| Quantization based fast inner product search R Guo, S Kumar, K Choromanski, D Simcha Artificial intelligence and statistics, 482-490, 2016 | 114 | 2016 |
| Visualbackprop: Efficient visualization of cnns for autonomous driving M Bojarski, A Choromanska, K Choromanski, B Firner, LJ Ackel, U Muller, ... 2018 IEEE International Conference on Robotics and Automation (ICRA), 4701-4708, 2018 | 102 | 2018 |
| Visualbackprop: visualizing cnns for autonomous driving M Bojarski, A Choromanska, K Choromanski, B Firner, L Jackel, U Muller, ... arXiv preprint arXiv:1611.05418 2, 1.2, 2016 | 98 | 2016 |
| Masked language modeling for proteins via linearly scalable long-context transformers K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ... arXiv preprint arXiv:2006.03555, 2020 | 92 | 2020 |
| The unreasonable effectiveness of structured random orthogonal embeddings KM Choromanski, M Rowland, A Weller Advances in neural information processing systems 30, 2017 | 90 | 2017 |
| Rapidly adaptable legged robots via evolutionary meta-learning X Song, Y Yang, K Choromanski, K Caluwaerts, W Gao, C Finn, J Tan 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 84 | 2020 |
| Tournaments and colouring E Berger, K Choromanski, M Chudnovsky, J Fox, M Loebl, A Scott, ... Journal of Combinatorial Theory, Series B 103 (1), 1-20, 2013 | 77 | 2013 |
| Rt-2: Vision-language-action models transfer web knowledge to robotic control B Zitkovich, T Yu, S Xu, P Xu, T Xiao, F Xia, J Wu, P Wohlhart, S Welker, ... Conference on Robot Learning, 2165-2183, 2023 | 66 | 2023 |
