Yilan Chen - RankMe

15 papers A* 5Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel. CoRR Yilan Chen, Zhichao Wang, Wei Huang, Andi Han, Taiji Suzuki, Arya Mazumdar
2025	J	`jnl`	How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime? CoRR Wei Huang, Andi Han, Yujin Song, Yilan Chen, Denny Wu, Difan Zou, Taiji Suzuki
2024	J	`jnl`	Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm. CoRR Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan
2024	A*	`conf`	On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm. ICML Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan
2024	A*	`conf`	Provable and Efficient Dataset Distillation for Kernel Ridge Regression. NeurIPS Yilan Chen, Wei Huang, Lily Weng
2023	J	`jnl`	Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection. Trans. Mach. Learn. Res. Wei Huang, Chunrui Liu, Yilan Chen, Richard Yi Da Xu, Miao Zhang, Tsui-Wei Weng
2023	A*	`conf`	Analyzing Generalization of Neural Networks through Loss Path Kernels. NeurIPS Yilan Chen, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava, Lam M. Nguyen, Lily Weng
2023	J	`jnl`	Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification. IEEE Trans. Pattern Anal. Mach. Intell. Quanshi Zhang, Xu Cheng, Yilan Chen, Zhefan Rao
2023	J	`jnl`	The Importance of Prompt Tuning for Automated Neuron Explanations. CoRR Justin Lee, Tuomas P. Oikarinen, Arjun Chatha, Keng-Chi Chang, Yilan Chen, Tsui-Wei Weng
2022	J	`jnl`	Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning. CoRR Wei Huang, Chunrui Liu, Yilan Chen, Tianyu Liu, Richard Yi Da Xu
2022	J	`jnl`	Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification. CoRR Quanshi Zhang, Xu Cheng, Yilan Chen, Zhefan Rao
2021	A*	`conf`	On the Equivalence between Neural Network and Support Vector Machine. NeurIPS Yilan Chen, Wei Huang, Lam M. Nguyen, Tsui-Wei Weng
2021	J	`jnl`	On the Equivalence between Neural Network and Support Vector Machine. CoRR Yilan Chen, Wei Huang, Lam M. Nguyen, Tsui-Wei Weng
2020	A*	`conf`	Explaining Knowledge Distillation by Quantifying the Knowledge. CVPR Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang
2020	J	`jnl`	Explaining Knowledge Distillation by Quantifying the Knowledge. CoRR Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang