Co-occurring keywords · papers mentioning both
Papers
Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics
AISTATS 2025
Foundations of the Theory of Performance-Based Ranking
CVPR 2025
To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation
NeurIPS 2024
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification
NeurIPS 2022
Optimizing Black-box Metrics with Iterative Example Weighting
ICML 2021
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results
ACL 2020
Precision-Recall-Gain Curves: PR Analysis Done Right
NeurIPS 2015