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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
ContextCite: Attributing Model Generation to Context
NIPS 2024
Statistical Inference for Fairness Auditing
JMLR 2024
Classist Tools: Social Class Correlates with Performance in NLP
ACL 2024
Beyond Aesthetics: Cultural Competence in Text-to-Image Models
NIPS 2024
Discovering and Mitigating Biases in CLIP-Based Image Editing
WACV 2024
Understanding “Democratization” in NLP and ML Research
EMNLP 2024
Finding Spoken Identifications: Using GPT-4 Annotation for an Efficient and Fast Dataset Creation Pipeline
COLING 2024
Uncovering Stereotypes in Large Language Models: A Task Complexity-based Approach
EACL 2024
Improving Fairness Using Vision-Language Driven Image Augmentation
WACV 2024
Are Text Classifiers Xenophobic? A Country-Oriented Bias Detection Method with Least Confounding Variables
COLING 2024
Analyzing Occupational Distribution Representation in Japanese Language Models
COLING 2024
Improving Fairness in Deepfake Detection
WACV 2024
Fairness in Social Influence Maximization via Optimal Transport
NIPS 2024
Do Large Language Models Understand Mansplaining? Well, Actually...
COLING 2024
Curation of Benchmark Templates for Measuring Gender Bias in Named Entity Recognition Models
COLING 2024
Efficient Explainable Face Verification Based on Similarity Score Argument Backpropagation
WACV 2024
Tackling Data Bias in MUSIC-AVQA: Crafting a Balanced Dataset for Unbiased Question-Answering
WACV 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness
NIPS 2024
Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation
EMNLP 2024
Learning with Noisy Labels Using Hyperspherical Margin Weighting
AAAI 2024
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study
EMNLP 2024
Unpacking Bias: An Empirical Study of Bias Measurement Metrics, Mitigation Algorithms, and Their Interactions
COLING 2024
Narrative Navigators at FIGNEWS 2024 Shared Task: New Frontiers in Bias and Propaganda Annotation Techniques
ACL 2024
Taming Normalizing Flows
WACV 2024
Hybrid Sample Synthesis-Based Debiasing of Classifier in Limited Data Setting
WACV 2024
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