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2024年期刊论文和会议论文
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[1]
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Kun Fang, Qinghua Tao, Yingwen Wu, Tao Li, Jia Cai, Feipeng Cai, Xiaolin Huang, Jie Yang: Towards robust neural networks via orthogonal diversity, Pattern Recognition, 749: 110281, 2024
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[2]
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Tao Li, Qinghua Tao, Weihao Yan, Yingwen Wu, Zehao Lei, Kun Fang, Mingzhen He, Xiaolin Huang: Revisiting random weight perturbation for efficiently improving generalization, Transactions on Machine Learning Research, accepted, 2024
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[3]
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Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang: Online continual learning via logit adjusted softmax, Transactions on Machine Learning Research, accepted, 2024
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[4]
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Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang: Friendly Sharpness-Aware Minimization, in proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, pp. 1-9, 2024
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2023年期刊论文和会议论文
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[1]
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Tao Li, Lei Tan, Zhehao Huang, Qinghua Tao, Yipeng Liu, Xiaolin Huang: Low Dimensional Trajectory Hypothesis is True: DNNs can be Trained in Tiny Subspaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3): 3411-3420, 2023
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[2]
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Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang: Trainable weight averaging: Efficient training by optimizing historical solutions, in proceedings of International Conference on Learning Representations (ICLR), Kigali, Rwanda, pp. 1-9, 2023
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[3]
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Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang: Investigating catastrophic overfitting in fast adversarial training: A self-fitting perspective, in proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Vancouver, Canada, pp. 2313-2320, 2023
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2022年期刊论文和会议论文
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