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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
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning
ACL 2023
Proximity-Informed Calibration for Deep Neural Networks
NIPS 2023
Debunking Biases in Attention
ACL 2023
Towards Label Position Bias in Graph Neural Networks
NIPS 2023
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model
ACL 2023
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models
ACL 2023
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes
NIPS 2023
Fair Graph Distillation
NIPS 2023
DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
NIPS 2023
LEACE: Perfect linear concept erasure in closed form
NIPS 2023
Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models
ACL 2023
Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment?
ACL 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
NIPS 2023
Gender-Inclusive Grammatical Error Correction through Augmentation
ACL 2023
Group Fairness in Peer Review
NIPS 2023
Race, Gender, and Age Biases in Biomedical Masked Language Models
ACL 2023
A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
NIPS 2023
Learning Antidote Data to Individual Unfairness
ICML 2023
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
NIPS 2023
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
NIPS 2023
H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets
NIPS 2023
Stubborn Lexical Bias in Data and Models
ACL 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
NIPS 2023
No-regret Algorithms for Fair Resource Allocation
NIPS 2023
Collaborative Causal Inference with Fair Incentives
ICML 2023
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