SOTAVerified

Fairness

Papers

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Showing 4776–4800 of 5676 papers

TitleStatusHype
Fairness-aware Agnostic Federated Learning—0
Fair and Representative Subset Selection from Data StreamsCode0
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects—0
Assessing Classifier Fairness with Collider Bias—0
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms—0
Projection-Based Constrained Policy Optimization—0
FairMixRep : Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints—0
A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization—0
Fairness Perception from a Network-Centric Perspective—0
Characterising Bias in Compressed Models—0
Fairness in Machine Learning: A Survey—0
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets—0
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and FairnessCode0
Data-Efficient Pretraining via Contrastive Self-Supervision—0
User-item matching for recommendation fairness—0
Utility is in the Eye of the User: A Critique of NLP Leaderboards—0
Two-Hop Multi-UAV Relay Network Optimization with Directional Antennas—0
Basic principles and concept design of a real-time clinical decision support system for managing medical emergencies on missions to Mars—0
Towards a Measure of Individual Fairness for Deep Learning—0
There is no trade-off: enforcing fairness can improve accuracy—0
Exchanging Lessons Between Algorithmic Fairness and Domain Generalization—0
DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes—0
A Primal-Dual Subgradient Approachfor Fair Meta LearningCode0
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach—0
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination—0
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All datasetsBAF – BaseBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VDiveFaceMORPHUTKFace

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