| Deep learning via semi-supervised embedding J Weston, F Ratle, R Collobert Proceedings of the 25th international conference on Machine learning, 1168-1175, 2008 | 1307 | 2008 |
| Sharpness-aware minimization for efficiently improving generalization P Foret, A Kleiner, H Mobahi, B Neyshabur arXiv preprint arXiv:2010.01412, 2020 | 1136 | 2020 |
| Toward a practical face recognition system: Robust alignment and illumination by sparse representation A Wagner, J Wright, A Ganesh, Z Zhou, H Mobahi, Y Ma IEEE transactions on pattern analysis and machine intelligence 34 (2), 372-386, 2011 | 817 | 2011 |
| Learning with a Wasserstein loss C Frogner, C Zhang, H Mobahi, M Araya, TA Poggio Advances in neural information processing systems 28, 2015 | 667 | 2015 |
| Fantastic Generalization Measures and Where to Find Them Y Jiang, B Neyshabur, H Mobahi, D Krishnan, S Bengio | 571 | 2019 |
| Deep learning from temporal coherence in video H Mobahi, R Collobert, J Weston Proceedings of the 26th annual international conference on machine learning …, 2009 | 443 | 2009 |
| Large margin deep networks for classification G Elsayed, D Krishnan, H Mobahi, K Regan, S Bengio Advances in neural information processing systems 31, 2018 | 306 | 2018 |
| Face recognition with contiguous occlusion using markov random fields Z Zhou, A Wagner, H Mobahi, J Wright, Y Ma 2009 IEEE 12th international conference on computer vision, 1050-1057, 2009 | 234 | 2009 |
| Self-distillation amplifies regularization in hilbert space H Mobahi, M Farajtabar, PL Bartlett NeurIPS 2020, 2020 | 217 | 2020 |
| Predicting the generalization gap in deep networks with margin distributions Y Jiang, D Krishnan, H Mobahi, S Bengio arXiv preprint arXiv:1810.00113, 2018 | 212 | 2018 |
| Segmentation of natural images by texture and boundary compression H Mobahi, SR Rao, AY Yang, SS Sastry, Y Ma International journal of computer vision 95 (1), 86-98, 2011 | 205 | 2011 |
| Natural image segmentation with adaptive texture and boundary encoding SR Rao, H Mobahi, AY Yang, SS Sastry, Y Ma Asian conference on computer vision, 135-146, 2009 | 151 | 2009 |
| The low-rank simplicity bias in deep networks M Huh, H Mobahi, R Zhang, B Cheung, P Agrawal, P Isola arXiv preprint arXiv:2103.10427, 2021 | 91 | 2021 |
| A Theoretical Analysis of Optimization by Gaussian Continuation H Mobahi, JW Fisher III AAAI, 2015 | 91 | 2015 |
| On the Link Between Gaussian Homotopy Continuation and Convex Envelopes H Mobahi, JW Fisher III Lecture Notes in Computer Science (EMMCVPR 2015), 2015 | 80 | 2015 |
| Sharpness-aware minimization improves language model generalization D Bahri, H Mobahi, Y Tay arXiv preprint arXiv:2110.08529, 2021 | 77 | 2021 |
| A unifying view on implicit bias in training linear neural networks C Yun, S Krishnan, H Mobahi arXiv preprint arXiv:2010.02501, 2020 | 71 | 2020 |
| Semantic redundancies in image-classification datasets: The 10% you don't need V Birodkar, H Mobahi, S Bengio arXiv preprint arXiv:1901.11409, 2019 | 71 | 2019 |
| Holistic 3D reconstruction of urban structures from low-rank textures H Mobahi, Z Zhou, AY Yang, Y Ma 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011 | 59 | 2011 |
| Homotopy analysis for tensor PCA A Anandkumar, Y Deng, R Ge, H Mobahi Conference on Learning Theory, 79-104, 2017 | 51 | 2017 |
Yi Ma (马毅)Professor of EECS, UC Berkeley; Director of IDS & Head of CS, University of Hong Kong在 eecs.berkeley.edu 的电子邮件经过验证
