| We look like our names: The manifestation of name stereotypes in facial appearance. Y Zwebner, AL Sellier, N Rosenfeld, J Goldenberg, R Mayo Journal of Personality and Social Psychology 112 (4), 527, 2017 | 76 | 2017 |
| A kernel of truth: Determining rumor veracity on twitter by diffusion pattern alone N Rosenfeld, A Szanto, DC Parkes Proceedings of The Web Conference 2020, 1018-1028, 2020 | 62 | 2020 |
| Strategic classification in the dark G Ghalme, V Nair, I Eilat, I Talgam-Cohen, N Rosenfeld International Conference on Machine Learning, 3672-3681, 2021 | 48 | 2021 |
| Strategic classification made practical S Levanon, N Rosenfeld International Conference on Machine Learning, 6243-6253, 2021 | 43 | 2021 |
| Learning representations by humans, for humans S Hilgard, N Rosenfeld, MR Banaji, J Cao, D Parkes International conference on machine learning, 4227-4238, 2021 | 34 | 2021 |
| Predicting counterfactuals from large historical data and small randomized trials N Rosenfeld, Y Mansour, E Yom-Tov Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 28 | 2017 |
| Learning Structured Models with the AUC Loss and Its Generalizations N Rosenfeld, O Meshi, D Tarlow, A Globerson Proceedings of the Seventeenth International Conference on Artificial …, 2014 | 26 | 2014 |
| Generalized strategic classification and the case of aligned incentives S Levanon, N Rosenfeld International Conference on Machine Learning, 12593-12618, 2022 | 21 | 2022 |
| Predicting choice with set-dependent aggregation N Rosenfeld, K Oshiba, Y Singer International Conference on Machine Learning, 8220-8229, 2020 | 19 | 2020 |
| From predictions to decisions: Using lookahead regularization N Rosenfeld, A Hilgard, SS Ravindranath, DC Parkes Advances in Neural Information Processing Systems 33, 4115-4126, 2020 | 18 | 2020 |
| Discriminative learning of prediction intervals N Rosenfeld, Y Mansour, E Yom-Tov International Conference on Artificial Intelligence and Statistics, 347-355, 2018 | 18 | 2018 |
| Learning to optimize combinatorial functions N Rosenfeld, E Balkanski, A Globerson, Y Singer International Conference on Machine Learning, 4374-4383, 2018 | 16 | 2018 |
| Discriminative learning of infection models N Rosenfeld, M Nitzan, A Globerson Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016 | 16 | 2016 |
| Strategic classification with graph neural networks I Eilat, B Finkelshtein, C Baskin, N Rosenfeld arXiv preprint arXiv:2205.15765, 2022 | 8 | 2022 |
| Semi-supervised learning with competitive infection models N Rosenfeld, A Globerson International Conference on Artificial Intelligence and Statistics, 336-346, 2018 | 7 | 2018 |
| Optimal tagging with Markov chain optimization N Rosenfeld, A Globerson Advances in Neural Information Processing Systems 29, 2016 | 7 | 2016 |
| Strategic Representation V Nair, G Ghalme, I Talgam-Cohen, N Rosenfeld | 6 | 2022 |
| Instructed to bias: instruction-tuned language models exhibit emergent cognitive bias I Itzhak, G Stanovsky, N Rosenfeld, Y Belinkov Transactions of the Association for Computational Linguistics 12, 771-785, 2024 | 4 | 2024 |
| Delegated Classification E Saig, I Talgam-Cohen, N Rosenfeld Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Learning to suggest breaks: sustainable optimization of long-term user engagement E Saig, N Rosenfeld International Conference on Machine Learning, 29671-29696, 2023 | 4* | 2023 |
Amir GlobersonTel Aviv University在 post.tau.ac.il 的电子邮件经过验证
