Подписаться
Sanmi Koyejo
Sanmi Koyejo
Assistant Professor, Stanford University
Подтвержден адрес электронной почты в домене stanford.edu - Главная страница
Название
Процитировано
Процитировано
Год
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
Foundations and trends® in machine learning 14 (1–2), 1-210, 2021
70002021
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
12032016
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
8272016
Asynchronous federated optimization
C Xie, S Koyejo, I Gupta
arXiv preprint arXiv:1903.03934, 2019
8122019
Are emergent abilities of large language models a mirage?
R Schaeffer, B Miranda, S Koyejo
Advances in Neural Information Processing Systems 36, 2024
4592024
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
4032013
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
4022021
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
3942023
Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance
C Xie, S Koyejo, I Gupta
International Conference on Machine Learning, 6893-6901, 2019
3172019
Generalized byzantine-tolerant sgd
C Xie, O Koyejo, I Gupta
arXiv preprint arXiv:1802.10116, 2018
3052018
Fall of empires: Breaking byzantine-tolerant sgd by inner product manipulation
C Xie, O Koyejo, I Gupta
Uncertainty in Artificial Intelligence, 261-270, 2020
2992020
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
2902023
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
2352019
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
2272021
Consistent binary classification with generalized performance metrics
OO Koyejo, N Natarajan, PK Ravikumar, IS Dhillon
Advances in neural information processing systems 27, 2014
2252014
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
2032019
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
1782015
Zeno++: Robust fully asynchronous SGD
C Xie, S Koyejo, I Gupta
International Conference on Machine Learning, 10495-10503, 2020
1372020
Interpreting black box predictions using fisher kernels
R Khanna, B Kim, J Ghosh, S Koyejo
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
1182019
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, ...
arXiv preprint arXiv:2402.08787, 2024
1022024
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20