2024
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
ICML 2024poster
The fine-tuning paradigm in addressing long-tail learning tasks has sparked significant interest since the emergence of foundation models. Nonetheless, how fine-tuning impacts performance in long-tail learning was not explicitly quantified. In this paper, we disclose that heavy fine-tuning may even…