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Fairness

Papers

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Showing 2751–2800 of 5676 papers

TitleStatusHype
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)—0
FGCE: Feasible Group Counterfactual Explanations for Auditing Fairness—0
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data—0
Deep Learning Aided Beamforming for Downlink Non-Orthogonal Multiple Access Systems—0
Fighting Money Laundering with Statistics and Machine Learning—0
FinA: Fairness of Adverse Effects in Decision-Making of Human-Cyber-Physical-System—0
FIND:Explainable Framework for Meta-learning—0
Finding Fair and Efficient Allocations When Valuations Don't Add Up—0
Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure—0
Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines—0
Finding Words Associated with DIF: Predicting Differential Item Functioning using LLMs and Explainable AI—0
Deep Learning in the Field of Biometric Template Protection: An Overview—0
Fine-Grained Bias Detection in LLM: Enhancing detection mechanisms for nuanced biases—0
Deep Learning Meets Mechanism Design: Key Results and Some Novel Applications—0
Fine-Tuning from Limited Feedbacks—0
GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing—0
Finite-Sample and Distribution-Free Fair Classification: Optimal Trade-off Between Excess Risk and Fairness, and the Cost of Group-Blindness—0
FinML-Chain: A Blockchain-Integrated Dataset for Enhanced Financial Machine Learning—0
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk—0
FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment—0
First-Choice Maximality Meets Ex-ante and Ex-post Fairness—0
First-Person Fairness in Chatbots—0
FiSH: Fair Spatial Hotspots—0
FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software—0
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information—0
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout—0
Gender Bias in Transformer Models: A comprehensive survey—0
General Fair Empirical Risk Minimization—0
Defining bias in AI-systems: Biased models are fair models—0
Automatic Essay Scoring in a Brazilian Scenario—0
Defining the Collective Intelligence Supply Chain—0
Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition—0
FairJudge: Trustworthy User Prediction in Rating Platforms—0
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling—0
Flexible text generation for counterfactual fairness probing—0
Flexibly Fair Representation Learning by Disentanglement—0
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning—0
FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models—0
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks—0
Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport—0
FaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT—0
FNAS: Uncertainty-Aware Fast Neural Architecture Search—0
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data—0
Demand-Aware Beam Hopping and Power Allocation for Load Balancing in Digital Twin empowered LEO Satellite Networks—0
Formalising Anti-Discrimination Law in Automated Decision Systems—0
Democratize with Care: The need for fairness specific features in user-interface based open source AutoML tools—0
Fair in the Eyes of Others—0
Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution—0
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms—0
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare—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