| Petuum: A new platform for distributed machine learning on big data EP Xing, Q Ho, W Dai, JK Kim, J Wei, S Lee, X Zheng, P Xie, A Kumar, ... Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 656 | 2015 |
| DeeBERT: Dynamic early exiting for accelerating BERT inference J Xin, R Tang, J Lee, Y Yu, J Lin arXiv preprint arXiv:2004.12993, 2020 | 379 | 2020 |
| Semantic pooling for complex event analysis in untrimmed videos X Chang, YL Yu, Y Yang, EP Xing IEEE transactions on pattern analysis and machine intelligence 39 (8), 1617-1632, 2016 | 353 | 2016 |
| Convex multi-view subspace learning M White, Y Yu, X Zhang, D Schuurmans Advances in Neural Information Processing Systems, 1682-1690, 2012 | 204 | 2012 |
| Problems and opportunities in training deep learning software systems: An analysis of variance HV Pham, S Qian, J Wang, T Lutellier, J Rosenthal, L Tan, Y Yu, ... Proceedings of the 35th IEEE/ACM international conference on automated …, 2020 | 162 | 2020 |
| Federated learning meets multi-objective optimization Z Hu, K Shaloudegi, G Zhang, Y Yu IEEE Transactions on Network Science and Engineering 9 (4), 2039-2051, 2022 | 155* | 2022 |
| Sum-of-squares polynomial flow P Jaini, KA Selby, Y Yu International Conference on Machine Learning, 3009-3018, 2019 | 152 | 2019 |
| Semantic concept discovery for large-scale zero-shot event detection X Chang, Y Yang, AG Hauptmann, EP Xing, YL Yu International Joint Conference on Artificial Intelligence 2015, 2234-2240, 2015 | 137 | 2015 |
| BERxiT: Early exiting for BERT with better fine-tuning and extension to regression J Xin, R Tang, Y Yu, J Lin Proceedings of the 16th conference of the European chapter of the …, 2021 | 121 | 2021 |
| Analysis of kernel mean matching under covariate shift Y Yu, C Szepesvári ICML, 2012 | 118 | 2012 |
| Accelerated training for matrix-norm regularization: A boosting approach X Zhang, Y Yu, D Schuurmans Advances in Neural Information Processing Systems, 2906-2914, 2012 | 111 | 2012 |
| On decomposing the proximal map YL Yu Advances in neural information processing systems 26, 2013 | 107 | 2013 |
| Better approximation and faster algorithm using the proximal average YL Yu Advances in neural information processing systems 26, 2013 | 89 | 2013 |
| Complex event detection using semantic saliency and nearly-isotonic SVM X Chang, Y Yang, EP Xing, YL Yu ICML, 2015 | 84 | 2015 |
| The art of abstention: Selective prediction and error regularization for natural language processing J Xin, R Tang, Y Yu, J Lin Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 60 | 2021 |
| Convergence of gradient methods on bilinear zero-sum games G Zhang, Y Yu arXiv preprint arXiv:1908.05699, 2019 | 58 | 2019 |
| Dropout with expectation-linear regularization X Ma, Y Gao, Z Hu, Y Yu, Y Deng, E Hovy arXiv preprint arXiv:1609.08017, 2016 | 58 | 2016 |
| Quantifying and improving transferability in domain generalization G Zhang, H Zhao, Y Yu, P Poupart Advances in Neural Information Processing Systems 34, 10957-10970, 2021 | 57 | 2021 |
| Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. P Xie, JK Kim, Y Zhou, Q Ho, A Kumar, Y Yu, EP Xing UAI, 2016 | 57* | 2016 |
| Tails of Lipschitz triangular flows P Jaini, I Kobyzev, Y Yu, M Brubaker International Conference on Machine Learning, 4673-4681, 2020 | 56 | 2020 |
Dale SchuurmansUniversity of Alberta, Google DeepMind在 cs.ualberta.ca 的電子郵件地址已通過驗證
