SOTAVerified

Fairness

Papers

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Showing 3826–3850 of 5676 papers

TitleStatusHype
Marrying Fairness and Explainability in Supervised Learning—0
Models and Mechanisms for Spatial Data Fairness—0
Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems—0
Differentially Private Sampling from Rashomon Sets, and the Universality of Langevin Diffusion for Convex Optimization—0
Achieving Long-Term Fairness in Sequential Decision MakingCode0
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems—0
Adjusting for Bias with Procedural DataCode0
Optimizing generalized Gini indices for fairness in rankings—0
A Versatile Framework for Evaluating Ranked Lists in terms of Group Fairness and Relevance—0
Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder—0
FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation—0
Longitudinal Fairness with Censorship—0
Learning Fair Models without Sensitive Attributes: A Generative ApproachCode0
INSPIRE: Distributed Bayesian Optimization for ImproviNg SPatIal REuse in Dense WLANs—0
A Maximal Correlation Framework for Fair Machine Learning—0
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations—0
Concept Embedding Analysis: A Review—0
Searching for Network Width with Bilaterally Coupled NetworkCode0
Addressing Missing Sources with Adversarial Support-MatchingCode0
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic OptimizationCode0
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning—0
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal—0
On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations—0
Representation Bias in Data: A Survey on Identification and Resolution Techniques—0
Fair Federated Learning via Bounded Group Loss—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