SOTAVerified

Fairness

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1926–1950 of 5676 papers

TitleStatusHype
FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity—0
FADE: Adversarial Concept Erasure in Flow Models—0
A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions—0
FADES: Fair Disentanglement with Sensitive Relevance—0
FAE: A Fairness-Aware Ensemble Framework—0
Rate-Splitting Multiple Access: The First Prototype and Experimental Validation of its Superiority over SDMA and NOMA—0
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation—0
Societal AI Research Has Become Less Interdisciplinary—0
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training—0
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness—0
A Fairness Analysis on Private Aggregation of Teacher Ensembles—0
Fair Active Learning in Low-Data Regimes—0
Fair Active Ranking from Pairwise Preferences—0
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces—0
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification—0
Causal-Aware Intelligent QoE Optimization for VR Interaction with Adaptive Keyframe Extraction—0
Fair Adversarial Networks—0
Context matters for fairness -- a case study on the effect of spatial distribution shifts—0
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications—0
Fair Algorithm Design: Fair and Efficacious Machine Scheduling—0
Causal Conceptions of Fairness and their Consequences—0
Fair Algorithms for Hierarchical Agglomerative Clustering—0
Fair Algorithms for Infinite and Contextual Bandits—0
Fair Algorithms for Learning in Allocation Problems—0
Context-Aware Mobility Management in HetNets: A Reinforcement Learning Approach—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