2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective
Zhi Zhang, Jiayi Shen, Congfeng Cao +5
Advancing towards generalist agents necessitates the concurrent processing of multiple tasks using a unified model, thereby underscoring the growing significance of simultaneous mo…
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
Incremental Residual Concept Bottleneck Models
Chenming Shang, Shiji Zhou, Hengyuan Zhang +3
Concept Bottleneck Models (CBMs) map the black-box visual representations extracted by deep neural networks onto a set of interpretable concepts and use the concepts to make predic…