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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
Refining Language Models with Compositional Explanations
NIPS 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
NIPS 2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach
EMNLP 2021
Does Social Pressure Drive Persuasion in Online Fora?
EMNLP 2021
Fairness-aware Class Imbalanced Learning
EMNLP 2021
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness
EMNLP 2021
The Effect of Round-Trip Translation on Fairness in Sentiment Analysis
EMNLP 2021
Constructing a Psychometric Testbed for Fair Natural Language Processing
EMNLP 2021
Adversarial Scrubbing of Demographic Information for Text Classification
EMNLP 2021
Improving Policing with Natural Language Processing
ACL 2021
Changing the World by Changing the Data
ACL 2021
SemEval-2021 Task 12: Learning with Disagreements
ACL 2021
Bad Seeds: Evaluating Lexical Methods for Bias Measurement
ACL 2021
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach
ACL 2021
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives
ACL 2021
Bison Hacks the Yard: Assisting Underrepresented Students Overcome Impostor Syndrome with Augmented Reality and Artificial Intelligence
AAAI 2021
All of the Fairness for Edge Prediction with Optimal Transport
AISTATS 2021
Gender Bias in Text: Origin, Taxonomy, and Implications
IJCNLP 2021
Towards Understanding the Role of Gender in Deploying Social Media-Based Mental Health Surveillance Models
NAACL 2021
Decision Making with Differential Privacy under a Fairness Lens
IJCAI 2021
Combining Fairness and Optimality when Selecting and Allocating Projects
IJCAI 2021
Picking Sequences and Monotonicity in Weighted Fair Division
IJCAI 2021
Almost Envy-Freeness for Groups: Improved Bounds via Discrepancy Theory
IJCAI 2021
Budget-feasible Maximum Nash Social Welfare is Almost Envy-free
IJCAI 2021
Learning Groupwise Explanations for Black-Box Models
IJCAI 2021
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