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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
Attainability and Optimality: The Equalized Odds Fairness Revisited
CLEAR 2022
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
NIPS 2022
Bridging Fairness and Environmental Sustainability in Natural Language Processing
EMNLP 2022
Your fairness may vary: Pretrained language model fairness in toxic text classification
ACL 2022
Local calibration: metrics and recalibration
UAI 2022
On Learning Fairness and Accuracy on Multiple Subgroups
NIPS 2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
CVPR 2022
Fairness without Demographics through Knowledge Distillation
NIPS 2022
On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract)
AAAI 2022
Does Moral Code have a Moral Code? Probing Delphi’s Moral Philosophy
NAACL 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
NIPS 2022
Market Design for Drone Traffic Management
AAAI 2022
Hate Speech Criteria: A Modular Approach to Task-Specific Hate Speech Definitions
NAACL 2022
Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability
ALT 2022
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
NIPS 2022
Achieving Counterfactual Fairness for Causal Bandit
AAAI 2022
Adaptive Data Debiasing through Bounded Exploration
NIPS 2022
On-Demand Sampling: Learning Optimally from Multiple Distributions
NIPS 2022
Debiasing Neural Retrieval via In-batch Balancing Regularization
NAACL 2022
Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic
ACL 2022
On the Fairness of Causal Algorithmic Recourse
AAAI 2022
X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization
EMNLP 2022
Quantifying Societal Bias Amplification in Image Captioning
CVPR 2022
Modification-Fair Cluster Editing
AAAI 2022
Probing Classifiers are Unreliable for Concept Removal and Detection
NIPS 2022
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