Advances in Transfer Learning and Domain Adaptation (Q167841): Difference between revisions

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description / endescription / en
This cluster of papers focuses on the advances in transfer learning and domain adaptation, including topics such as few-shot learning, unsupervised learning, representation learning, deep networks, meta-learning, visual recognition, semi-supervised l
"Applying knowledge learned from one task to another with varying data conditions."

Revision as of 13:59, 30 August 2024

"Applying knowledge learned from one task to another with varying data conditions."
  • Transfer Learning
  • Domain Adaptation
  • Few-Shot Learning
  • Unsupervised Learning
  • Representation Learning
  • Deep Networks
  • Meta-Learning
  • Visual Recognition
  • Semi-Supervised Learning
  • Clustering Analysis
Language Label Description Also known as
English
Advances in Transfer Learning and Domain Adaptation
"Applying knowledge learned from one task to another with varying data conditions."
  • Transfer Learning
  • Domain Adaptation
  • Few-Shot Learning
  • Unsupervised Learning
  • Representation Learning
  • Deep Networks
  • Meta-Learning
  • Visual Recognition
  • Semi-Supervised Learning
  • Clustering Analysis

Statements