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Fairness

1,193 papers

Papers per year

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Papers

FairGT: A Fairness-aware Graph Transformer IJCAI 2024
LEEC for Judicial Fairness: A Legal Element Extraction Dataset with Extensive Extra-Legal Labels IJCAI 2024
Algorithmic Fairness in Distribution of Resources and Tasks IJCAI 2024
Fairness guarantees in multi-class classification with demographic parity JMLR 2024
Aequitas Flow: Streamlining Fair ML Experimentation JMLR 2024
“One-Size-Fits-All”? Examining Expectations around What Constitute “Fair” or “Good” NLG System Behaviors NAACL 2024
Lost in Transcription: Identifying and Quantifying the Accuracy Biases of Automatic Speech Recognition Systems Against Disfluent Speech NAACL 2024
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction NAACL 2024
Can Abstract Meaning Representation Facilitate Fair Legal Judgement Predictions? NAACL 2024
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models NAACL 2024
FairBelief - Assessing Harmful Beliefs in Language Models NAACL 2024
On the Interplay between Fairness and Explainability NAACL 2024
Masking Latent Gender Knowledge for Debiasing Image Captioning NAACL 2024
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection SEMEVAL 2024
Linking Convolutional Kernel Size to Generalization Bias in Face Analysis CNNs WACV 2024
Improving Fairness in Deepfake Detection WACV 2024
Improving Fairness Using Vision-Language Driven Image Augmentation WACV 2024
Discovering and Mitigating Biases in CLIP-Based Image Editing WACV 2024
Robust Learning via Conditional Prevalence Adjustment WACV 2024
Fast Model DeBias with Machine Unlearning NIPS 2023
Into the LAION’s Den: Investigating Hate in Multimodal Datasets NIPS 2023
Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations NIPS 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions NIPS 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models NIPS 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness NIPS 2023