The Geometry of Robustness: Optimizing Loss Landscape Curvature and Feature Manifold Alignment for Robust Finetuning of Vision-Language Models

Documenti analoghi

• FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering
  di: Huang, Chengyue, et al.
  Pubblicazione: (2025)
• Directional Gradient Projection for Robust Fine-Tuning of Foundation Models
  di: Huang, Chengyue, et al.
  Pubblicazione: (2025)
• Continual Adaptation of Vision Transformers for Federated Learning
  di: Halbe, Shaunak, et al.
  Pubblicazione: (2023)
• Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models
  di: Huang, Chengyue, et al.
  Pubblicazione: (2025)
• Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
  di: Tian, Junjiao, et al.
  Pubblicazione: (2024)