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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
Towards Label Position Bias in Graph Neural Networks
NIPS 2023
Collaborative Causal Inference with Fair Incentives
ICML 2023
On the Impact of Algorithmic Recourse on Social Segregation
ICML 2023
Trade-Offs Between Fairness and Privacy in Language Modeling
ACL 2023
A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
NIPS 2023
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes
NIPS 2023
Group Robust Classification Without Any Group Information
NIPS 2023
No-regret Algorithms for Fair Resource Allocation
NIPS 2023
Adapting Fairness Interventions to Missing Values
NIPS 2023
Shapley Based Residual Decomposition for Instance Analysis
ICML 2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
ICML 2023
DLAMA: A Framework for Curating Culturally Diverse Facts for Probing the Knowledge of Pretrained Language Models
ACL 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
NIPS 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
ICML 2023
Data Feedback Loops: Model-driven Amplification of Dataset Biases
ICML 2023
Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models
ACL 2023
Contextual Reliability: When Different Features Matter in Different Contexts
ICML 2023
Group Fairness in Peer Review
NIPS 2023
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement
NIPS 2023
In-Context Impersonation Reveals Large Language Models' Strengths and Biases
NIPS 2023
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models
ACL 2023
Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract)
IJCAI 2023
Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages
ACL 2023
Specifying and Testing k-Safety Properties for Machine-Learning Models
IJCAI 2023
Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy
IJCAI 2023
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