SOTAVerified

Fairness

Papers

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Showing 4651–4700 of 5676 papers

TitleStatusHype
Searching for Network Width with Bilaterally Coupled NetworkCode0
To train or not to train adversarially: A study of bias mitigation strategies for speaker recognitionCode0
Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and FusionCode0
mlr3summary: Concise and interpretable summaries for machine learning modelsCode0
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data CombinationCode0
Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image SynthesisCode0
Average Individual Fairness: Algorithms, Generalization and ExperimentsCode0
A Variational Approach to Privacy and FairnessCode0
seeBias: A Comprehensive Tool for Assessing and Visualizing AI FairnessCode0
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated StereotypesCode0
Evaluating the Fairness of Discriminative Foundation Models in Computer VisionCode0
FACT: A Diagnostic for Group Fairness Trade-offsCode0
Variable-Based Calibration for Machine Learning ClassifiersCode0
Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classificationCode0
Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU Length of Stay PredictionCode0
The World Wide recipe: A community-centred framework for fine-grained data collection and regional bias operationalisationCode0
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair ClassificationCode0
Certifying Some Distributional Fairness with Subpopulation DecompositionCode0
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case StudyCode0
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human FeedbackCode0
Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical StudyCode0
Hate Speech Detection with Generalizable Target-aware FairnessCode0
HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement LearningCode0
What Do Compressed Deep Neural Networks Forget?Code0
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design DecisionsCode0
Model Compression Techniques in Biometrics Applications: A SurveyCode0
A Large-Scale Empirical Study on Improving the Fairness of Image Classification ModelsCode0
Certifying Fairness of Probabilistic CircuitsCode0
Evolutionary instability of selfish learning in repeated gamesCode0
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable ObjectivesCode0
Feature Importance Disparities for Data Bias InvestigationsCode0
Exacerbating Algorithmic Bias through Fairness AttacksCode0
Diverse Weighted Bipartite b-MatchingCode0
Distribution-aware Fairness Test GenerationCode0
Are Sex-based Physiological Differences the Cause of Gender Bias for Chest X-ray Diagnosis?Code0
Heterophily-Aware Fair Recommendation using Graph Convolutional NetworksCode0
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated LearningCode0
Hidden Author Bias in Book RecommendationCode0
Selective Regression Under Fairness CriteriaCode0
Hidden or Inferred: Fair Learning-To-Rank with Unknown DemographicsCode0
Modeling Implicit Bias with Fuzzy Cognitive MapsCode0
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic PerspectiveCode0
AIM: Attributing, Interpreting, Mitigating Data UnfairnessCode0
Distributional Off-Policy Evaluation for Slate RecommendationsCode0
Adjusting for Bias with Procedural DataCode0
TexShape: Information Theoretic Sentence Embedding for Language ModelsCode0
Toward Fair Federated Learning under Demographic Disparities and Data ImbalanceCode0
Towards Return Parity in Markov Decision ProcessesCode0
Self-Paced Deep Regression Forests with Consideration of Ranking FairnessCode0
Towards Reward Fairness in RLHF: From a Resource Allocation PerspectiveCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.86—Unverified
21D-CSNNPredictive Equality (age)97.8—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)96.87—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.97—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.45—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.68—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.31—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)6.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)1.96—Unverified