Ngā tūemi rite

• Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning
  mā: Goswami, Dipam, me ētahi atu.
  I whakaputaina: (2024)
• Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification
  mā: Goswami, Dipam, me ētahi atu.
  I whakaputaina: (2026)
• Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers
  mā: Goswami, Dipam, me ētahi atu.
  I whakaputaina: (2024)
• Exemplar-free Continual Representation Learning via Learnable Drift Compensation
  mā: Gomez-Villa, Alex, me ētahi atu.
  I whakaputaina: (2024)
• FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
  mā: Goswami, Dipam, me ētahi atu.
  I whakaputaina: (2023)