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Fairness

3337 directly classified papers

Papers per year

Papers

Metadata Normalization CVPR 2021
Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings CVPR 2021
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance MLHC 2021
Evaluating Model Robustness and Stability to Dataset Shift AISTATS 2021
To be Robust or to be Fair: Towards Fairness in Adversarial Training ICML 2021
The Affective Growth of Computer Vision CVPR 2021
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems CVPR 2021
Consistent Instance False Positive Improves Fairness in Face Recognition CVPR 2021
Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators’ Disagreement EMNLP 2021
WIKIBIAS: Detecting Multi-Span Subjective Biases in Language EMNLP 2021
Evaluating Debiasing Techniques for Intersectional Biases EMNLP 2021
Large Image Datasets: A Pyrrhic Win for Computer Vision? WACV 2021
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search EMNLP 2021
Detecting Community Sensitive Norm Violations in Online Conversations EMNLP 2021
Towards Automatic Bias Detection in Knowledge Graphs EMNLP 2021
Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender EMNLP 2021
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources EMNLP 2021
One Explanation is Not Enough: Structured Attention Graphs for Image Classification NIPS 2021
Explaining Latent Representations with a Corpus of Examples NIPS 2021
Overinterpretation reveals image classification model pathologies NIPS 2021
Perceptual Score: What Data Modalities Does Your Model Perceive? NIPS 2021
Characterizing the risk of fairwashing NIPS 2021
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial NIPS 2021
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning NIPS 2021
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs NIPS 2021