Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... arXiv preprint arXiv:1912.04977, 2019 | 485 | 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 | 352 | 2016 |
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 | 323 | 2016 |
Toward open sharing of task-based fMRI data: the OpenfMRI project RA Poldrack, DM Barch, J Mitchell, T Wager, AD Wagner, JT Devlin, ... Frontiers in neuroinformatics 7, 12, 2013 | 276 | 2013 |
Consistent Binary Classification with Generalized Performance Metrics. O Koyejo, N Natarajan, P Ravikumar, IS Dhillon NIPS 27, 2744-2752, 2014 | 116 | 2014 |
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 | 101 | 2015 |
Generalized byzantine-tolerant sgd C Xie, O Koyejo, I Gupta arXiv preprint arXiv:1802.10116, 2018 | 78 | 2018 |
Asynchronous federated optimization C Xie, S Koyejo, I Gupta arXiv preprint arXiv:1903.03934, 2019 | 46 | 2019 |
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 | 40 | 2019 |
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 | 37 | 2019 |
Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance C Xie, S Koyejo, I Gupta International Conference on Machine Learning, 6893-6901, 2019 | 36 | 2019 |
Fall of empires: Breaking Byzantine-tolerant SGD by inner product manipulation C Xie, O Koyejo, I Gupta Uncertainty in Artificial Intelligence, 261-270, 2020 | 33 | 2020 |
Retargeted matrix factorization for collaborative filtering O Koyejo, S Acharyya, J Ghosh Proceedings of the 7th ACM conference on Recommender systems, 49-56, 2013 | 28 | 2013 |
False discovery rate smoothing W Tansey, O Koyejo, RA Poldrack, JG Scott Journal of the American Statistical Association 113 (523), 1156-1171, 2018 | 27* | 2018 |
Zeno: Byzantine-suspicious stochastic gradient descent C Xie, O Koyejo, I Gupta arXiv preprint arXiv:1805.10032 24, 2018 | 25 | 2018 |
Learning to rank with Bregman divergences and monotone retargeting S Acharyya, O Koyejo, J Ghosh arXiv preprint arXiv:1210.4851, 2012 | 25 | 2012 |
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 | 22 | 2019 |
Phocas: dimensional byzantine-resilient stochastic gradient descent C Xie, O Koyejo, I Gupta arXiv preprint arXiv:1805.09682, 2018 | 22 | 2018 |
What's in a pattern? Examining the type of signal multivariate analysis uncovers at the group level R Gilron, J Rosenblatt, O Koyejo, RA Poldrack, R Mukamel NeuroImage 146, 113-120, 2017 | 21 | 2017 |
Binary classification with karmic, threshold-quasi-concave metrics B Yan, S Koyejo, K Zhong, P Ravikumar International Conference on Machine Learning, 5531-5540, 2018 | 17 | 2018 |