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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
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification
EMNLP 2019
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them
NAACL 2019
On Measuring Social Biases in Sentence Encoders
NAACL 2019
Gender Bias in Contextualized Word Embeddings
NAACL 2019
On Human-Aligned Risk Minimization
NIPS 2019
On the Fairness of Disentangled Representations
NIPS 2019
Differential Privacy Has Disparate Impact on Model Accuracy
NIPS 2019
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
NIPS 2019
What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
NAACL 2019
Towards Discriminative Representations and Unbiased Predictions: Class-Specific Angular Softmax for Speech Emotion Recognition
INTERSPEECH 2019
Optimizing Generalized Rate Metrics with Three Players
NIPS 2019
Unlocking Fairness: a Trade-off Revisited
NIPS 2019
Average Individual Fairness: Algorithms, Generalization and Experiments
NIPS 2019
“Reverse Gerrymandering”: Manipulation in Multi-Group Decision Making
AAAI 2019
Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints
AAAI 2019
Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts
EMNLP 2019
The many dimensions of algorithmic fairness in educational applications
ACL 2019
Bias Analysis and Mitigation in the Evaluation of Authorship Verification
ACL 2019
Discovering Fair Representations in the Data Domain
CVPR 2019
Equal Opportunity in Online Classification with Partial Feedback
NIPS 2019
Exploring Algorithmic Fairness in Robust Graph Covering Problems
NIPS 2019
Balancing Efficiency and Fairness in On-Demand Ridesourcing
NIPS 2019
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
NIPS 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric
NIPS 2019
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness
NIPS 2019
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