From Channel Bias to Feature Redundancy: Uncovering the "Less is More" Principle in Few-Shot Learning

Documenti analoghi

• Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation
  di: Xing, Youguang, et al.
  Pubblicazione: (2025)
• CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model
  di: Chen, Cheng, et al.
  Pubblicazione: (2024)
• Benchmarking Few-shot Transferability of Pre-trained Models with Improved Evaluation Protocols
  di: Luo, Xu, et al.
  Pubblicazione: (2026)
• Reliable Few-shot Learning under Dual Noises
  di: Zhang, Ji, et al.
  Pubblicazione: (2025)
• Text-Video Retrieval with Global-Local Semantic Consistent Learning
  di: Zhang, Haonan, et al.
  Pubblicazione: (2024)