Summary of Visual Prompt Tuning in Null Space For Continual Learning, by Yue Lu et al.
Visual Prompt Tuning in Null Space for Continual Learningby Yue Lu, Shizhou Zhang, De Cheng,…
Visual Prompt Tuning in Null Space for Continual Learningby Yue Lu, Shizhou Zhang, De Cheng,…
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learningby Dipam Goswami, Albin Soutif–Cormerais, Yuyang…
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmarkby Marina Ceccon, Davide Dalle Pezze,…
Empowering Biomedical Discovery with AI Agentsby Shanghua Gao, Ada Fang, Yepeng Huang, Valentina Giunchiglia, Ayush…
Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approachby Taro Togo, Ren Togo, Keisuke…
Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structureby De Cheng,…
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learningby Xinyuan Gao, Songlin Dong, Yuhang…
TEGEE: Task dEfinition Guided Expert Ensembling for Generalizable and Few-shot Learningby Xingwei Qu, Yiming Liang,…
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsalby Jianheng Huang, Leyang Cui, Ante…
One-stage Prompt-based Continual Learningby Youngeun Kim, Yuhang Li, Priyadarshini PandaFirst submitted to arxiv on: 25…