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Fairness
796 directly classified papers
Papers per year
2013: 3
2014: 1
2016: 1
2017: 11
2018: 14
2019: 44
2020: 76
2021: 91
2022: 132
2023: 133
2024: 158
2025: 132
Papers
Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets
ACL 2021
Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition
INTERSPEECH 2021
Mitigating Face Recognition Bias via Group Adaptive Classifier
CVPR 2021
On the Privacy Properties of GAN-generated Samples
AISTATS 2021
Towards Fair and Transparent Algorithmic Systems
IJCAI 2021
Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract)
IJCAI 2021
Towards Reducing Biases in Combining Multiple Experts Online
IJCAI 2021
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
IJCAI 2021
Themis: A Fair Evaluation Platform for Computer Vision Competitions
IJCAI 2021
Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models
IJCAI 2021
Matchings with Group Fairness Constraints: Online and Offline Algorithms
IJCAI 2021
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling
IJCAI 2021
Fair and Efficient Resource Allocation with Partial Information
IJCAI 2021
Adversarial Scrubbing of Demographic Information for Text Classification
EMNLP 2021
The World of an Octopus: How Reporting Bias Influences a Language Model’s Perception of Color
EMNLP 2021
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?
EMNLP 2021
Fairness-aware Class Imbalanced Learning
EMNLP 2021
Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability
EMNLP 2021
Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects
EMNLP 2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach
EMNLP 2021
On Releasing Annotator-Level Labels and Information in Datasets
EMNLP 2021
Developing a Benchmark for Reducing Data Bias in Authorship Attribution
EMNLP 2021
Evaluation of Summarization Systems across Gender, Age, and Race
EMNLP 2021
Mitigation of Diachronic Bias in Fake News Detection Dataset
EMNLP 2021
Algorithms for Fairness in Sequential Decision Making
AISTATS 2021
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