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Fairness

Papers

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Showing 2501–2550 of 5676 papers

TitleStatusHype
Disentangled Representation Learning with the Gromov-Monge Gap—0
Discussion about Attacks and Defenses for Fair and Robust Recommendation System Design—0
Balancing Tails when Comparing Distributions: Comprehensive Equity Index (CEI) with Application to Bias Evaluation in Operational Face Biometrics—0
Discriminatory Transfer—0
Avoiding Disparity Amplification under Different Worldviews—0
Discrimination-free Insurance Pricing with Privatized Sensitive Attributes—0
Discrimination and Class Imbalance Aware Online Naive Bayes—0
Balancing Profit and Fairness in Risk-Based Pricing Markets—0
Balancing out Bias: Achieving Fairness Through Balanced Training—0
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning—0
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records—0
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography—0
Discovery of Bias and Strategic Behavior in Crowdsourced Performance Assessment—0
Balancing out Bias: Achieving Fairness Through Balanced Training—0
α-Discounting Multi-Criteria Decision Making (α-D MCDM)—0
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data—0
Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange—0
Alpha and Prejudice: Improving α-sized Worst-case Fairness via Intrinsic Reweighting—0
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation—0
DiRe Committee : Diversity and Representation Constraints in Multiwinner Elections—0
Diminishing Stereotype Bias in Image Generation Model using Reinforcemenlent Learning Feedback—0
Balancing Fairness and Performance in Healthcare AI: A Gradient Reconciliation Approach—0
A Low-Complexity Approach for Max-Min Fairness in Uplink Cell-Free Massive MIMO—0
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness—0
Balancing Fairness and Efficiency in an Optimization Model—0
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks—0
Digital Ethics in Federated Learning—0
A Local Search Framework for Experimental Design—0
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models—0
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks—0
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models—0
Differential privacy enables fair and accurate AI-based analysis of speech disorders while protecting patient data—0
Balancing Fairness and Accuracy in Data-Restricted Binary Classification—0
Almost Group Envy-free Allocation of Indivisible Goods and Chores—0
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization—0
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey—0
Differentially Private Tabular Data Synthesis using Large Language Models—0
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning—0
Differentially Private Fair Learning—0
Differentially Private Empirical Risk Minimization under the Fairness Lens—0
Balanced Ranking with Diversity Constraints—0
(Almost) Envy-Free, Proportional and Efficient Allocations of an Indivisible Mixed Manna—0
Differentially Empirical Risk Minimization under the Fairness Lens—0
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness—0
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach—0
Differentially Private and Fair Classification via Calibrated Functional Mechanism—0
Balanced House Allocation—0
Differential Adjusted Parity for Learning Fair Representations—0
Differentiable Optimal Adversaries for Learning Fair Representations—0
Balanced Filtering via Disclosure-Controlled Proxies—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