Label Efficient Learning of Transferable Representations acrosss Domains and Tasks

Zelun Luo, Yuliang Zou, Judy Hoffman, Li F. Fei-Fei

Oct-4-2024, 01:52:16 GMT–Neural Information Processing Systems

We propose a framework that learns a representation transferable across different domains and tasks in a label efficient manner.

arxiv preprint arxiv, conference, target domain, (12 more...)

Neural Information Processing Systems

Oct-4-2024, 01:52:16 GMT

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Country:
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  - United States
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    - Ohio > Franklin County
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Technology:
- Information Technology > Artificial Intelligence
  - Vision (1.00)
  - Representation & Reasoning (1.00)
  - Machine Learning
    - Neural Networks > Deep Learning (1.00)
    - Unsupervised or Indirectly Supervised Learning (0.69)

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Label Efficient Learning of Transferable Representations acrosss Domains and Tasks
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks

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