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cs.CV2025
Breaking Forgetting: Training-Free Few-Shot Class-Incremental Learning via Conditional Diffusion
Haidong Kang, Ketong Qian, Yi Lu
Efforts to overcome catastrophic forgetting in Few-Shot Class-Incremental Learning (FSCIL) have primarily focused on developing more effective gradient-based optimization strategie…
cs.CV2025
Automatic Pruning Discovery for Large Language Models
Haidong Kang, Lihong Lin, Enneng Yang +2
Large language models (LLMs) have achieved remarkable performance on a wide range of tasks, hindering real-world deployment due to their massive size. Existing pruning methods (e.g…