1 citations · 1 across the 4 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.LG2024
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases
Ling Han, Hao Huang, Dustin Scheinost +2
Effective adaptation to distribution shifts in training data is pivotal for sustaining robustness in neural networks, especially when removing specific biases or outdated informati…
cs.LG2024★ 1 cited
Towards Independence Criterion in Machine Unlearning of Features and Labels
Ling Han, Nanqing Luo, Hao Huang +2
This work delves into the complexities of machine unlearning in the face of distributional shifts, particularly focusing on the challenges posed by non-uniform feature and label re…