SOTAVerified

Fairness

Papers

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Showing 3651–3700 of 5676 papers

TitleStatusHype
Towards Equalised Odds as Fairness Metric in Academic Performance Prediction—0
Towards Equal Opportunity Fairness through Adversarial Learning—0
Towards Equitable Agile Research and Development of AI and Robotics—0
Towards Equitable Rail Service Allocation Through Fairness-Oriented Timetabling in Liberalized Markets—0
Towards Equity and Algorithmic Fairness in Student Grade Prediction—0
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset—0
Towards Explainable Doctor Recommendation with Large Language Models—0
Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition—0
Towards Fair and Calibrated Models—0
Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach—0
Towards Fair Classification against Poisoning Attacks—0
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training—0
Towards Fair Conversational Recommender Systems—0
Towards Fair Deep Anomaly Detection—0
Towards Fair Deep Clustering With Multi-State Protected Variables—0
Towards Fair Disentangled Online Learning for Changing Environments—0
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models—0
Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation—0
Towards Fair Face Verification: An In-depth Analysis of Demographic Biases—0
Towards Fair Federated Learning with Zero-Shot Data Augmentation—0
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity—0
Towards Fair Graph Neural Networks via Graph Counterfactual without Sensitive Attributes—0
Towards Fair Graph Representation Learning in Social Networks—0
Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation—0
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking—0
Towards Fairness Assessment of Dutch Hate Speech Detection—0
Towards Fairness-aware Adversarial Network Pruning—0
Towards Fairness-Aware Multi-Objective Optimization—0
Towards Fairness Certification in Artificial Intelligence—0
Towards Fairness in AI for Melanoma Detection: Systemic Review and Recommendations—0
Towards Fairness in Classifying Medical Conversations into SOAP Sections—0
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning—0
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems—0
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint—0
Towards Fair Roads -- Manifesto For Fairness Paradigm in Traffic Engineering—0
Towards Friendly AI: A Comprehensive Review and New Perspectives on Human-AI Alignment—0
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems—0
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems—0
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness—0
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models—0
Towards LLM Guardrails via Sparse Representation Steering—0
Towards Logical Specification of Statistical Machine Learning—0
Towards Measuring and Scoring Speaker Diarization Fairness—0
Towards Measuring Fairness in AI: the Casual Conversations Dataset—0
Towards Measuring Fairness in Grid Layout in Recommender Systems—0
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions—0
Towards measuring fairness in speech recognition: Fair-Speech dataset—0
Towards Mitigating Perceived Unfairness in Contracts from a Non-Legal Stakeholder's Perspective—0
Towards Multi-Objective Statistically Fair Federated Learning—0
Towards Multi-Stakeholder Evaluation of ML Models: A Crowdsourcing Study on Metric Preferences in Job-matching System—0
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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