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Fairness

3337 directly classified papers

Papers per year

Papers

Towards Fair Cross-Domain Adaptation via Generative Learning WACV 2021
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline EACL 2021
Sociolectal Analysis of Pretrained Language Models EMNLP 2021
On Fair Division under Heterogeneous Matroid Constraints AAAI 2021
hBERT + BiasCorp - Fighting Racism on the Web EACL 2021
Challenges in Automated Debiasing for Toxic Language Detection EACL 2021
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation EACL 2021
Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets IJCNLP 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels ICML 2021
Measuring Biases of Word Embeddings: What Similarity Measures and Descriptive Statistics to Use? NAACL 2021
Fairness and Bias in Online Selection ICML 2021
The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets AAAI 2021
Understanding and Interpreting the Impact of User Context in Hate Speech Detection NAACL 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation AAAI 2021
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration AAAI 2021
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach AAAI 2021
A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from Reddit EMNLP 2021
Mitigating Political Bias in Language Models through Reinforced Calibration AAAI 2021
Reconsidering Annotator Disagreement about Racist Language: Noise or Signal? NAACL 2021
Towards a unified framework for fair and stable graph representation learning UAI 2021
Gender Bias in Text: Origin, Taxonomy, and Implications ACL 2021
Sustainable Modular Debiasing of Language Models EMNLP 2021
Uncovering Latent Biases in Text: Method and Application to Peer Review AAAI 2021
Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers EMNLP 2021
Challenges in Detoxifying Language Models EMNLP 2021