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Yilan Chen
Yilan Chen
在 ucsd.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Explaining knowledge distillation by quantifying the knowledge
X Cheng, Z Rao, Y Chen, Q Zhang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1222020
Quantifying the knowledge in a DNN to explain knowledge distillation for classification
Q Zhang, X Cheng, Y Chen, Z Rao
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 5099-5113, 2022
192022
On the Equivalence between Neural Network and Support Vector Machine
Y Chen, W Huang, LM Nguyen, TW Weng
35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
152021
Analyzing deep pac-bayesian learning with neural tangent kernel: Convergence, analytic generalization bound, and efficient hyperparameter selection
W Huang, C Liu, Y Chen, RY Da Xu, M Zhang, TW Weng
Transactions on Machine Learning Research, 2023
6*2023
Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm
Z Zhou, Z Chen, Y Chen, B Zhang, J Yan
arXiv preprint arXiv:2402.03660, 2024
2024
Analyzing Generalization of Neural Networks through Loss Path Kernels
Y Chen, W Huang, H Wang, C Loh, A Srivastava, LM Nguyen, TW Weng
Thirty-seventh Conference on Neural Information Processing Systems, 2023
2023
The Importance of Prompt Tuning for Automated Neuron Explanations
J Lee, T Oikarinen, A Chantha, KC Chang, Y Chen, TW Weng
arXiv preprint arXiv:2310.06200, 2023
2023
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