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Machine Learning
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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
Unbiased Math Word Problems Benchmark for Mitigating Solving Bias
NAACL 2022
Analyzing Culture-Specific Argument Structures in Learner Essays
COLING 2022
Bias Mitigation in Machine Translation Quality Estimation
ACL 2022
Learning Bias-reduced Word Embeddings Using Dictionary Definitions
ACL 2022
Fair and Optimal Decision Trees: A Dynamic Programming Approach
NIPS 2022
Measuring Geographic Performance Disparities of Offensive Language Classifiers
COLING 2022
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling
COLING 2022
A Study of Implicit Bias in Pretrained Language Models against People with Disabilities
COLING 2022
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection
NIPS 2022
Debiasing Isn’t Enough! – on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks
COLING 2022
Bigger Data or Fairer Data? Augmenting BERT via Active Sampling for Educational Text Classification
COLING 2022
Fine-tuning language models to find agreement among humans with diverse preferences
NIPS 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
NIPS 2022
The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World
NIPS 2022
Fairness Transferability Subject to Bounded Distribution Shift
NIPS 2022
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
NIPS 2022
Optimal Transport of Classifiers to Fairness
NIPS 2022
Fair NLP Models with Differentially Private Text Encoders
EMNLP 2022
Fairness-Aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models
CVPR 2022
The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings
EMNLP 2022
The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail
ACL 2022
A Study on the Distribution of Social Biases in Self-Supervised Learning Visual Models
CVPR 2022
Learning Concept Credible Models for Mitigating Shortcuts
NIPS 2022
Revisiting Queer Minorities in Lexicons
NAACL 2022
Don’t Just Clean It, Proxy Clean It: Mitigating Bias by Proxy in Pre-Trained Models
EMNLP 2022
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