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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
Fair Text Classification with Wasserstein Independence
EMNLP 2023
Overwriting Pretrained Bias with Finetuning Data
ICCV 2023
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification
ICCV 2023
MMD-B-Fair: Learning Fair Representations with Statistical Testing
AISTATS 2023
A Multidimensional Analysis of Social Biases in Vision Transformers
ICCV 2023
StereoMap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models
EMNLP 2023
Fair Short Paths in Vertex-Colored Graphs
AAAI 2023
Algorithmics of Egalitarian versus Equitable Sequences of Committees
IJCAI 2023
Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions
ACL 2023
Incentivizing Recourse through Auditing in Strategic Classification
IJCAI 2023
Towards Fairness-aware Adversarial Network Pruning
ICCV 2023
Learning to Generate an Unbiased Scene Graph by Using Attribute-Guided Predicate Features
AAAI 2023
DeepGemini: Verifying Dependency Fairness for Deep Neural Network
AAAI 2023
FairPrism: Evaluating Fairness-Related Harms in Text Generation
ACL 2023
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
ACL 2023
Gender Artifacts in Visual Datasets
ICCV 2023
Equity Promotion in Public Transportation
AAAI 2023
Accurate Fairness: Improving Individual Fairness without Trading Accuracy
AAAI 2023
Fair learning with Wasserstein barycenters for non-decomposable performance measures
AISTATS 2023
Explaining Model Confidence Using Counterfactuals
AAAI 2023
Censored Fairness through Awareness
AAAI 2023
Fairness and Explainability: Bridging the Gap towards Fair Model Explanations
AAAI 2023
Demographic Parity Constrained Minimax Optimal Regression under Linear Model
NIPS 2023
AI for Equitable, Data-Driven Decisions in Public Health
AAAI 2023
Towards Detecting Harmful Agendas in News Articles
ACL 2023
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