conftrace_
← Application Areas
Machine Learning › Application Areas ›

Fairness

3,511 papers

Papers per year

251
692
'20
'25

Papers

Mitigating Biases in Hate Speech Detection from A Causal Perspective EMNLP 2023
Fair Generative Models via Transfer Learning AAAI 2023
Demographic Parity Constrained Minimax Optimal Regression under Linear Model NIPS 2023
Multicalibration as Boosting for Regression ICML 2023
Counterfactually Fair Representation NIPS 2023
FACET: Fairness in Computer Vision Evaluation Benchmark ICCV 2023
Mitigating Test-Time Bias for Fair Image Retrieval NIPS 2023
Eliminating the Impossible, Whatever Remains Must Be True: On Extracting and Applying Background Knowledge in the Context of Formal Explanations AAAI 2023
SemEval-2023 Task 10: Explainable Detection of Online Sexism SEMEVAL 2023
Fairness Aware Counterfactuals for Subgroups NIPS 2023
DeepGemini: Verifying Dependency Fairness for Deep Neural Network AAAI 2023
HiBug: On Human-Interpretable Model Debug NIPS 2023
Delegated Classification NIPS 2023
Toward Cultural Bias Evaluation Datasets: The Case of Bengali Gender, Religious, and National Identity EACL 2023
Gender-Inclusive Grammatical Error Correction through Augmentation ACL 2023
Aporophobia: An Overlooked Type of Toxic Language Targeting the Poor ACL 2023
University at Buffalo at SemEval-2023 Task 11: MASDA–Modelling Annotator Sensibilities through DisAggregation ACL 2023
Sustaining Fairness via Incremental Learning AAAI 2023
Fairness-aware class imbalanced learning on multiple subgroups UAI 2023
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values EACL 2023
Omnipredictors for Constrained Optimization ICML 2023
Model Transferability with Responsive Decision Subjects ICML 2023
On the Strategyproofness of the Geometric Median AISTATS 2023
Literacy and STEM Teachers Adapt AI Ethics Curriculum AAAI 2023
Mitigating Source Bias for Fairer Weak Supervision NIPS 2023