• Home
  • About
  • A Brief History of AI
  • AI-Alerts
  • AI Magazine
  • AAAI Conferences
  • NeurIPS
  • Books
  • Classics

Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration

Meelis Kull, Miquel Perello Nieto, Markus Kängsepp, Telmo Silva Filho, Hao Song, Peter Flach

Oct-3-2025, 04:41:45 GMT–Neural Information Processing Systems 

Neural Information Processing Systems http://nips.cc/

  artificial intelligence, calibration, machine learning, (19 more...)

Neural Information Processing Systems

Oct-3-2025, 04:41:45 GMT

Conferences    PDF

Add feedback

  • Country:
    • Europe
      • Estonia > Tartu County
        • Tartu (0.04)
      • Sweden > Stockholm
        • Stockholm (0.04)
    • North America > Canada (0.04)
    • Oceania > Australia
      • New South Wales > Sydney (0.04)
  • Genre:
    • Research Report
      • Experimental Study (0.69)
      • New Finding (0.94)
  • Technology:
    • Information Technology > Artificial Intelligence
      • Machine Learning
        • Learning Graphical Models > Directed Networks
          • Bayesian Learning (0.68)
        • Neural Networks > Deep Learning (0.47)
        • Statistical Learning (1.00)
      • Representation & Reasoning (0.93)

  • By text
  • By views
  • By concept tags

Duplicate Docs Excel Report

Title
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration

Similar Docs  Excel Report  more

TitleSimilaritySource
None found

Site Feedback

© 2026, i2k Connect Inc  ·  All Rights Reserved.
Privacy policy  ·  Terms of use  ·  License  ·  Legal Notices
This is i2kweb version 7.1.0-SNAPSHOT. Logged in as aitopics-guest.

Site Feedback

powered by
i2k Connect

aitopics.org uses cookies to deliver the best possible experience. By continuing to use this site, you consent to the use of cookies. Learn more »

Add feedback

Send feedback to help us improve this new enhanced search experience.

Thank You!