2 papers
cs.LG2026
Provable Effects of Data Replay in Continual Learning: A Feature Learning Perspective
Meng Ding, Jinhui Xu, Kaiyi Ji
Continual learning (CL) aims to train models on a sequence of tasks while retaining performance on previously learned ones. A core challenge in this setting is catastrophic forgett…
cs.LG2024
Understanding Fine-tuning in Approximate Unlearning: A Theoretical Perspective
Meng Ding, Rohan Sharma, Changyou Chen +2
Machine Unlearning has emerged as a significant area of research, focusing on `removing' specific subsets of data from a trained model. Fine-tuning (FT) methods have become one of…