To Trust Or Not To Trust A Classifier

Heinrich Jiang, Been Kim, Melody Guan, Maya Gupta

Nov-20-2025, 17:21:49 GMT–Neural Information Processing Systems

Knowing when a classifier's prediction can be trusted is useful in many applications

classifier, data mining, machine learning, (18 more...)

Neural Information Processing Systems

Nov-20-2025, 17:21:49 GMT

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Country:
- North America
  - Canada > Quebec
    - Montreal (0.04)
  - United States > California
    - Santa Clara County > Palo Alto (0.04)

Genre:
- Research Report > New Finding (0.46)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning
      - Neural Networks > Deep Learning (0.46)
      - Performance Analysis (0.68)
      - Statistical Learning (1.00)
    - Representation & Reasoning (1.00)
  - Data Science > Data Mining (1.00)

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