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← Application Areas
Machine Learning
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Application Areas
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Fairness
3337 directly classified papers
Papers per year
2011: 1
2013: 3
2014: 2
2016: 6
2017: 30
2018: 65
2019: 182
2020: 239
2021: 373
2022: 456
2023: 533
2024: 648
2025: 644
2026: 155
Papers
The Impact of Differential Privacy on Group Disparity Mitigation
NAACL 2024
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers
AISTATS 2024
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks
NAACL 2024
Interactive Human-Centric Bias Mitigation
AAAI 2024
Identifying, Mitigating, and Anticipating Bias in Algorithmic Decisions
AAAI 2024
A Contrastive Learning Approach to Mitigate Bias in Speech Models
INTERSPEECH 2024
Fostering Trustworthiness in Machine Learning Algorithms
AAAI 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency
AAAI 2024
Algorithmic Fairness in Distribution of Resources and Tasks
IJCAI 2024
When is Multicalibration Post-Processing Necessary?
NIPS 2024
Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness
ACL 2024
LJPCheck: Functional Tests for Legal Judgment Prediction
ACL 2024
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
AAAI 2024
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes
ACL 2024
GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction
ACL 2024
Providing Fair Recourse over Plausible Groups
AAAI 2024
Revealing Confounding Biases: A Novel Benchmarking Approach for Aggregate-Level Performance Metrics in Health Assessments
INTERSPEECH 2024
Identifying Reasons for Bias: An Argumentation-Based Approach
AAAI 2024
Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection
EMNLP 2024
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
ACL 2024
Scalable Algorithms for Individual Preference Stable Clustering
AISTATS 2024
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy
AAAI 2024
Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method
IJCAI 2024
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
NIPS 2024
Statistical Inference for Fairness Auditing
JMLR 2024
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