| Advances and open problems in federated learning P Kairouz, HB McMahan Foundations and trends in machine learning 14 (1-2), 1-210, 2021 | 9913 | 2021 |
| Examples are not enough, learn to criticize! criticism for interpretability B Kim, R Khanna, OO Koyejo Advances in Neural Information Processing Systems, 2280-2288, 2016 | 1417 | 2016 |
| Asynchronous federated optimization C Xie, S Koyejo, I Gupta arXiv preprint arXiv:1903.03934, 2019 | 1062 | 2019 |
| The dynamics of functional brain networks: integrated network states during cognitive task performance JM Shine, PG Bissett, PT Bell, O Koyejo, JH Balsters, KJ Gorgolewski, ... Neuron 92 (2), 544-554, 2016 | 965 | 2016 |
| Are emergent abilities of large language models a mirage? R Schaeffer, B Miranda, S Koyejo Advances in neural information processing systems 36, 55565-55581, 2023 | 797 | 2023 |
| DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. B Wang, W Chen, H Pei, C Xie, M Kang, C Zhang, C Xu, Z Xiong, R Dutta, ... NeurIPS, 2023 | 684 | 2023 |
| Representation engineering: A top-down approach to ai transparency A Zou, L Phan, S Chen, J Campbell, P Guo, R Ren, A Pan, X Yin, ... arXiv preprint arXiv:2310.01405, 2023 | 671 | 2023 |
| A field guide to federated optimization J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ... arXiv preprint arXiv:2107.06917, 2021 | 516 | 2021 |
| Toward open sharing of task-based fMRI data: the OpenfMRI project RA Poldrack, DM Barch, JP Mitchell, TD Wager, AD Wagner, JT Devlin, ... Frontiers in neuroinformatics 7, 12, 2013 | 412 | 2013 |
| Fall of empires: Breaking byzantine-tolerant sgd by inner product manipulation C Xie, O Koyejo, I Gupta Uncertainty in artificial intelligence, 261-270, 2020 | 399 | 2020 |
| Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance C Xie, S Koyejo, I Gupta International conference on machine learning, 6893-6901, 2019 | 394 | 2019 |
| Generalized byzantine-tolerant sgd C Xie, O Koyejo, I Gupta arXiv preprint arXiv:1802.10116, 2018 | 360 | 2018 |
| Testing and evaluation of health care applications of large language models: a systematic review S Bedi, Y Liu, L Orr-Ewing, D Dash, S Koyejo, A Callahan, JA Fries, ... Jama, 2025 | 345 | 2025 |
| Rethinking machine unlearning for large language models S Liu, Y Yao, J Jia, S Casper, N Baracaldo, P Hase, Y Yao, CY Liu, X Xu, ... Nature Machine Intelligence, 1-14, 2025 | 329 | 2025 |
| Mariana Raykova, Dawn Song, Weikang Song, Sebastian U P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth …, 2021 | 314 | 2021 |
| Max-sliced wasserstein distance and its use for gans I Deshpande, YT Hu, R Sun, A Pyrros, N Siddiqui, S Koyejo, Z Zhao, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 286 | 2019 |
| Consistent binary classification with generalized performance metrics O Koyejo, N Natarajan, P Ravikumar, IS Dhillon Advances in neural information processing systems 27, 2014 | 259 | 2014 |
| Towards realistic individual recourse and actionable explanations in black-box decision making systems S Joshi, O Koyejo, W Vijitbenjaronk, B Kim, J Ghosh arXiv preprint arXiv:1907.09615, 2019 | 245 | 2019 |
| Estimation of dynamic functional connectivity using Multiplication of Temporal Derivatives JM Shine, O Koyejo, PT Bell, KJ Gorgolewski, M Gilat, RA Poldrack NeuroImage 122, 399-407, 2015 | 194 | 2015 |
| Learning to (learn at test time): Rnns with expressive hidden states Y Sun, X Li, K Dalal, J Xu, A Vikram, G Zhang, Y Dubois, X Chen, X Wang, ... arXiv preprint arXiv:2407.04620, 2024 | 188 | 2024 |
Rylan SchaefferStanford UniversityVerified email at stanford.edu
