3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 2 cited
On the Limitations and Prospects of Machine Unlearning for Generative AI
Shiji Zhou, Lianzhe Wang, Jiangnan Ye +2
Generative AI (GenAI), which aims to synthesize realistic and diverse data samples from latent variables or other data modalities, has achieved remarkable results in various domain…
cs.LG2024★ 3 cited
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
Yongliang Wu, Shiji Zhou, Mingzhuo Yang +6
Text-to-image diffusion models have achieved remarkable success in generating photorealistic images. However, the inclusion of sensitive information during pre-training poses signi…
cs.LG2021★ 1 cited
Online Continual Adaptation with Active Self-Training
Shiji Zhou, Han Zhao, Shanghang Zhang +4
Models trained with offline data often suffer from continual distribution shifts and expensive labeling in changing environments. This calls for a new online learning paradigm wher…