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cs.LG2024★ 1 cited
Remaining-data-free Machine Unlearning by Suppressing Sample Contribution
Xinwen Cheng, Zhehao Huang, Wenxin Zhou +4
Machine unlearning (MU) aims to remove the influence of specific training samples from a well-trained model, a task of growing importance due to the ``right to be forgotten.'' The…
cs.LG2021
Weighted Neural Tangent Kernel: A Generalized and Improved Network-Induced Kernel
Lei Tan, Shutong Wu, Xiaolin Huang
The Neural Tangent Kernel (NTK) has recently attracted intense study, as it describes the evolution of an over-parameterized Neural Network (NN) trained by gradient descent. Howeve…