Information theoretic measures for clusterings comparison: Variants, properties, normalization and correction for chance NX Vinh, J Epps, J Bailey The Journal of Machine Learning Research 11, 2837-2854, 2010 | 3321* | 2010 |
Symmetric cross entropy for robust learning with noisy labels Y Wang, X Ma, Z Chen, Y Luo, J Yi, J Bailey Proceedings of the IEEE/CVF international conference on computer vision, 322-330, 2019 | 926 | 2019 |
Characterizing adversarial subspaces using local intrinsic dimensionality X Ma, B Li, Y Wang, SM Erfani, S Wijewickrema, G Schoenebeck, D Song, ... arXiv preprint arXiv:1801.02613, 2018 | 796 | 2018 |
Improving adversarial robustness requires revisiting misclassified examples Y Wang, D Zou, J Yi, J Bailey, X Ma, Q Gu International conference on learning representations, 2019 | 725 | 2019 |
Reflection backdoor: A natural backdoor attack on deep neural networks Y Liu, X Ma, J Bailey, F Lu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 512 | 2020 |
Understanding adversarial attacks on deep learning based medical image analysis systems X Ma, Y Niu, L Gu, Y Wang, Y Zhao, J Bailey, F Lu Pattern Recognition 110, 107332, 2021 | 446 | 2021 |
Dimensionality-driven learning with noisy labels X Ma, Y Wang, ME Houle, S Zhou, S Erfani, S Xia, S Wijewickrema, ... International Conference on Machine Learning, 3355-3364, 2018 | 440 | 2018 |
Normalized loss functions for deep learning with noisy labels X Ma, H Huang, Y Wang, S Romano, S Erfani, J Bailey International conference on machine learning, 6543-6553, 2020 | 424 | 2020 |
On the convergence and robustness of adversarial training Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu arXiv preprint arXiv:2112.08304, 2021 | 395 | 2021 |
Iterative learning with open-set noisy labels Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 341 | 2018 |
Skip connections matter: On the transferability of adversarial examples generated with resnets D Wu, Y Wang, ST Xia, J Bailey, X Ma arXiv preprint arXiv:2002.05990, 2020 | 335 | 2020 |
Clean-label backdoor attacks on video recognition models S Zhao, X Ma, X Zheng, J Bailey, J Chen, YG Jiang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 281 | 2020 |
Identifying at-risk students in massive open online courses J He, J Bailey, B Rubinstein, R Zhang Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 259 | 2015 |
-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression J He, S Erfani, X Ma, J Bailey, Y Chi, XS Hua Advances in Neural Information Processing Systems 34, 20230-20242, 2021 | 256 | 2021 |
Discovery of minimal unsatisfiable subsets of constraints using hitting set dualization J Bailey, P Stuckey Practical Aspects of Declarative Languages, 174-186, 2005 | 251 | 2005 |
Mining minimal distinguishing subsequence patterns with gap constraints X Ji, J Bailey, G Dong Knowledge and Information Systems 11 (3), 259-286, 2007 | 234 | 2007 |
Adversarial camouflage: Hiding physical-world attacks with natural styles R Duan, X Ma, Y Wang, J Bailey, AK Qin, Y Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 219 | 2020 |
Adjusting for chance clustering comparison measures S Romano, NX Vinh, J Bailey, K Verspoor Journal of Machine Learning Research 17 (134), 1-32, 2016 | 219 | 2016 |
Computer-aided Diagnosis of Melanoma Using Border and Wavelet-based Texture Analysis R Garnavi, M Aldeen, J Bailey IEEE, 2012 | 215 | 2012 |
An event-condition-action language for XML J Bailey, A Poulovassilis, PT Wood Proceedings of the 11th international conference on World Wide Web, 486-495, 2002 | 215 | 2002 |