"Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree ..."

Igor Lovchinsky et al. (2020)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2020-05-07

- view
  - electronic edition @ openreview.net (open access)
- export record
  dblp key:
  - conf/iclr/LovchinskyDMSSL20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/LovchinskyDMSSL20
Igor Lovchinsky, Alon Daks, Israel Malkin, Pouya Samangouei, Ardavan Saeedi, Yang Liu, Swami Sankaranarayanan, Tomer Gafner, Ben Sternlieb, Patrick Maher, Nathan Silberman:
Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth. ICLR 2020

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.