SOTAVerified

Fairness

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1551–1575 of 5676 papers

TitleStatusHype
Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning—0
Doubly Robust Fusion of Many Treatments for Policy Learning—0
Downstream Effects of Affirmative Action—0
Downstream Fairness Caveats with Synthetic Healthcare Data—0
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service—0
Benchmarking Mutual Information-based Loss Functions in Federated Learning—0
Analysing a built-in advantage in asymmetric darts contests using causal machine learning—0
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework—0
DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Demonstration and Reasoning—0
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks—0
DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes—0
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age—0
Cooperation and Personalization on a Seesaw: Choice-based FL for Safe Cooperation in Wireless Networks—0
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI—0
Dual Node and Edge Fairness-Aware Graph Partition—0
DVM: Towards Controllable LLM Agents in Social Deduction Games—0
Dynamical Isometry based Rigorous Fair Neural Architecture Search—0
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness—0
Dynamic Fair Federated Learning Based on Reinforcement Learning—0
Dynamic fairness-aware recommendation through multi-agent social choice—0
Dynamic Fairness-Aware Spectrum Auction for Enhanced Licensed Shared Access in 6G Networks—0
Dynamic fairness - Breaking vicious cycles in automatic decision making—0
Dynamic Modeling and Equilibria in Fair Decision Making—0
Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees—0
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning—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