ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations

Ähnliche Einträge

• Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
  von: Addepalli, Sravanti, et al.
  Veröffentlicht: (2023)
• Rethinking Dataset Distillation: Hard Truths about Soft Labels
  von: Dey, Priyam, et al.
  Veröffentlicht: (2026)
• ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning
  von: Banerjee, Soumya, et al.
  Veröffentlicht: (2025)
• An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning
  von: Ghofrani, Fatemeh, et al.
  Veröffentlicht: (2025)
• Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
  von: Manna, Siladittya, et al.
  Veröffentlicht: (2023)