Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning Y ang

Oct-8-2025, 09:05:12 GMT–Neural Information Processing Systems

Recall (higher is better): the ratio of selected ID instances to the total number of ID instances.

artificial intelligence, machine learning, proportion, (14 more...)

Neural Information Processing Systems

Oct-8-2025, 09:05:12 GMT

Conferences PDF

Country:
- Africa > Ethiopia
  - Addis Ababa > Addis Ababa (0.04)
- Asia
  - China
    - Jiangsu Province > Nanjing (0.04)
    - Liaoning Province > Dalian (0.04)
    - Shanghai > Shanghai (0.04)
  - Middle East > Jordan (0.04)
- Europe
  - France (0.04)
  - Ireland > Leinster
    - County Dublin > Dublin (0.04)
- North America
  - Canada
    - British Columbia (0.04)
    - Ontario > Toronto (0.04)
    - Quebec > Montreal (0.04)
  - United States
    - California > Los Angeles County
      - Long Beach (0.04)
    - Florida > Miami-Dade County
      - Miami (0.04)
    - Louisiana > Orleans Parish
      - New Orleans (0.04)
    - Nevada (0.04)
- Oceania > Australia
  - New South Wales > Sydney (0.04)

Technology:
- Information Technology > Artificial Intelligence > Machine Learning
  - Neural Networks (0.47)
  - Unsupervised or Indirectly Supervised Learning (0.30)

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Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning Y ang
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning Y ang
2c8d9636f74d0207ff4f65956010f450-Paper-Conference.pdf

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