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Fairness
796 directly classified papers
Papers per year
2013: 3
2014: 1
2016: 1
2017: 11
2018: 14
2019: 44
2020: 76
2021: 91
2022: 132
2023: 133
2024: 158
2025: 132
Papers
Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference
AAAI 2024
Mixed Fair Division: A Survey
AAAI 2024
Providing Fair Recourse over Plausible Groups
AAAI 2024
Referee-Meta-Learning for Fast Adaptation of Locational Fairness
AAAI 2024
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
AAAI 2024
Identifying Reasons for Bias: An Argumentation-Based Approach
AAAI 2024
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks
AAAI 2024
What is the social benefit of hate speech detection research? A Systematic Review
EMNLP 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency
AAAI 2024
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data
AAAI 2024
Demystifying Algorithmic Fairness in an Uncertain World
AAAI 2024
Interactive Human-Centric Bias Mitigation
AAAI 2024
Transferring Fairness using Multi-Task Learning with Limited Demographic Information
EMNLP 2024
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
AAAI 2024
Quality-Diversity Generative Sampling for Learning with Synthetic Data
AAAI 2024
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing
AAAI 2024
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
AAAI 2024
ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment
AAAI 2024
Discovering and Mitigating Biases in CLIP-Based Image Editing
WACV 2024
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space
AAAI 2024
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes
EMNLP 2024
Hybrid Sample Synthesis-Based Debiasing of Classifier in Limited Data Setting
WACV 2024
Humans or LLMs as the Judge? A Study on Judgement Bias
EMNLP 2024
“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
EMNLP 2024
The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification
EMNLP 2024
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