| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 1490 | 2023 |
| Competition-level code generation with alphacode Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ... Science 378 (6624), 1092-1097, 2022 | 1108* | 2022 |
| Pixeldefend: Leveraging generative models to understand and defend against adversarial examples Y Song, T Kim, S Nowozin, S Ermon, N Kushman arXiv preprint arXiv:1710.10766, 2017 | 928 | 2017 |
| Learning to Automatically Solve Algebra Word Problems N Kushman, Y Artzi, L Zettlemoyer, R Barzilay | 426 | 2014 |
| Learning to solve arithmetic word problems with verb categorization MJ Hosseini, H Hajishirzi, O Etzioni, N Kushman Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 387 | 2014 |
| MAWPS: A math word problem repository R Koncel-Kedziorski, S Roy, A Amini, N Kushman, H Hajishirzi Proceedings of the 2016 conference of the north american chapter of the …, 2016 | 337 | 2016 |
| Constructing unrestricted adversarial examples with generative models Y Song, R Shu, N Kushman, S Ermon Advances in neural information processing systems 31, 2018 | 334 | 2018 |
| Learning robust representations via multi-view information bottleneck M Federici, A Dutta, P Forré, N Kushman, Z Akata arXiv preprint arXiv:2002.07017, 2020 | 262 | 2020 |
| R-BGP: Staying connected in a connected world N Kushman, S Kandula, D Katabi, BM Maggs Carnegie Mellon University, 2007 | 234 | 2007 |
| Learning to share: narrowband-friendly wideband networks H Rahul, N Kushman, D Katabi, C Sodini, F Edalat ACM SIGCOMM Computer Communication Review 38 (4), 147-158, 2008 | 192 | 2008 |
| Using semantic unification to generate regular expressions from natural language N Kushman, R Barzilay North American Chapter of the Association for Computational Linguistics (NAACL), 2013 | 161 | 2013 |
| ZipTx: Harnessing partial packets in 802.11 networks KCJ Lin, N Kushman, D Katabi Proceedings of the 14th ACM international conference on Mobile computing and …, 2008 | 147 | 2008 |
| Can you hear me now?! it must be BGP N Kushman, S Kandula, D Katabi ACM SIGCOMM Computer Communication Review 37 (2), 75-84, 2007 | 131 | 2007 |
| Terpret: A probabilistic programming language for program induction AL Gaunt, M Brockschmidt, R Singh, N Kushman, P Kohli, J Taylor, ... arXiv preprint arXiv:1608.04428, 2016 | 129 | 2016 |
| Solving math word problems with process-and outcome-based feedback J Uesato, N Kushman, R Kumar, F Song, N Siegel, L Wang, A Creswell, ... arXiv preprint arXiv:2211.14275, 2022 | 111 | 2022 |
| Neural generation of regular expressions from natural language with minimal domain knowledge N Locascio, K Narasimhan, E DeLeon, N Kushman, R Barzilay arXiv preprint arXiv:1608.03000, 2016 | 104 | 2016 |
| Learning high-level planning from text SRK Branavan, N Kushman, T Lei, R Barzilay The Association for Computational Linguistics, 2012 | 88 | 2012 |
| Differentiable programs with neural libraries AL Gaunt, M Brockschmidt, N Kushman, D Tarlow International Conference on Machine Learning, 1213-1222, 2017 | 75 | 2017 |
| A deep learning approach for joint video frame and reward prediction in atari games F Leibfried, N Kushman, K Hofmann arXiv preprint arXiv:1611.07078, 2016 | 62 | 2016 |
| Inverse graphics gan: Learning to generate 3d shapes from unstructured 2d data S Lunz, Y Li, A Fitzgibbon, N Kushman arXiv preprint arXiv:2002.12674, 2020 | 59 | 2020 |
Dina KatabiThuan and Nicole Pham Professor, MITVerified email at ai.mit.edu
