Yilan Chen

Affiliations:

University of California San Diego, Computer Science and Engineering Department, CA, USA
Xi'an Jiaotong University, China (former)

According to our database¹, Yilan Chen authored at least 9 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm.

[BibT_eX]

[DOI]

CoRR, 2024

On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

The Importance of Prompt Tuning for Automated Neuron Explanations.

[BibT_eX]

[DOI]

CoRR, 2023

Analyzing Generalization of Neural Networks through Loss Path Kernels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning.

[BibT_eX]

[DOI]

CoRR, 2022

2021

On the Equivalence between Neural Network and Support Vector Machine.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Explaining Knowledge Distillation by Quantifying the Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Yilan Chen

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