Co-occurring keywords · papers mentioning both
Papers
The Data Addition Dilemma
MLHC 2024
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
NeurIPS 2023
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning
MLHC 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
ICLR 2022
On the Impact of Random Seeds on the Fairness of Clinical Classifiers
NAACL 2021
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data
ICML 2021