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Fairness
1139 directly classified papers
Papers per year
2013: 1
2017: 7
2018: 15
2019: 33
2020: 64
2021: 96
2022: 166
2023: 167
2024: 221
2025: 364
2026: 5
Papers
Fairness in Long-Term Participatory Budgeting
IJCAI 2021
Addressing the Long-term Impact of ML Decisions via Policy Regret
IJCAI 2021
Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models
IJCAI 2021
Themis: A Fair Evaluation Platform for Computer Vision Competitions
IJCAI 2021
Towards Fair and Transparent Algorithmic Systems
IJCAI 2021
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
ICCV 2021
Annotating Online Misogyny
ACL 2021
Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets
ACL 2021
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
ACL 2021
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?
EMNLP 2021
Debiasing Methods in Natural Language Understanding Make Bias More Accessible
EMNLP 2021
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
EMNLP 2021
Sociolectal Analysis of Pretrained Language Models
EMNLP 2021
Assessing the Reliability of Word Embedding Gender Bias Measures
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
Eliciting Bias in Question Answering Models through Ambiguity
EMNLP 2021
Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives
EMNLP 2021
Mitigation of Diachronic Bias in Fake News Detection Dataset
EMNLP 2021
Mitigating Face Recognition Bias via Group Adaptive Classifier
CVPR 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
NIPS 2021
Uncovering Latent Biases in Text: Method and Application to Peer Review
AAAI 2021
Protecting the Protected Group: Circumventing Harmful Fairness
AAAI 2021
Justicia: A Stochastic SAT Approach to Formally Verify Fairness
AAAI 2021
Constructing a Fair Classifier with Generated Fair Data
AAAI 2021
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