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ORCIDYilan Chen 0002
Person information
- unicode name: 陈一览
- affiliation: University of California San Diego, Computer Science and Engineering Department, CA, USA
- affiliation (former): Xi'an Jiaotong University, China
Other persons with the same name
- Yilan Chen 0001
![[0000-0003-3926-1809]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3926-1809")
— City University of Hong Kong, School of Creative Media, Hong Kong - Yilan Chen 0003 — Ministry of Natural Resources First Institute of Oceanography, Qingdao, China
- Yilan Chen 0004 — University of Colorado, Department of Electrical, Computer and Energy Engineering, Boulder, CO, USA
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2020 – today
- 2024
[c5]Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan:
On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm. ICML 2024- [c4]Yilan Chen, Wei Huang, Lily Weng:
Provable and Efficient Dataset Distillation for Kernel Ridge Regression. NeurIPS 2024 - [i6]Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan:
Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm. CoRR abs/2402.03660 (2024) - 2023
- [j2]Quanshi Zhang, Xu Cheng, Yilan Chen, Zhefan Rao:
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5099-5113 (2023) - [j1]Wei Huang, Chunrui Liu, Yilan Chen, Richard Yi Da Xu, Miao Zhang, Tsui-Wei Weng:
Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection. Trans. Mach. Learn. Res. 2023 (2023) - [c3]Yilan Chen, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava, Lam M. Nguyen, Lily Weng:
Analyzing Generalization of Neural Networks through Loss Path Kernels. NeurIPS 2023 - [i5]Justin Lee, Tuomas P. Oikarinen, Arjun Chatha, Keng-Chi Chang, Yilan Chen, Tsui-Wei Weng:
The Importance of Prompt Tuning for Automated Neuron Explanations. CoRR abs/2310.06200 (2023) - 2022
- [i4]Wei Huang, Chunrui Liu, Yilan Chen, Tianyu Liu, Richard Yi Da Xu:
Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning. CoRR abs/2202.01958 (2022) - [i3]Quanshi Zhang, Xu Cheng, Yilan Chen, Zhefan Rao:
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification. CoRR abs/2208.08741 (2022) - 2021
- [c2]Yilan Chen, Wei Huang, Lam M. Nguyen, Tsui-Wei Weng:
On the Equivalence between Neural Network and Support Vector Machine. NeurIPS 2021: 23478-23490 - [i2]Yilan Chen, Wei Huang, Lam M. Nguyen, Tsui-Wei Weng:
On the Equivalence between Neural Network and Support Vector Machine. CoRR abs/2111.06063 (2021) - 2020
- [c1]Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang:
Explaining Knowledge Distillation by Quantifying the Knowledge. CVPR 2020: 12922-12932 - [i1]Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang:
Explaining Knowledge Distillation by Quantifying the Knowledge. CoRR abs/2003.03622 (2020)
Coauthor Index
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