SOTAVerified

Fairness

Papers

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Showing 1851–1900 of 5676 papers

TitleStatusHype
The Unfairness of -Fairness—0
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models PromptlyCode0
DemOpts: Fairness corrections in COVID-19 case prediction models—0
Multi-Objective Optimization-based Transmit Beamforming for Multi-Target and Multi-User MIMO-ISAC Systems—0
A survey on fairness of large language models in e-commerce: progress, application, and challenge—0
Fair Generalized Linear Mixed ModelsCode0
Continuous Multi-Link Operation: A Contention-Free Mechanism for the Unlicensed Spectrum—0
Navigating LLM Ethics: Advancements, Challenges, and Future Directions—0
Mitigating federated learning contribution allocation instability through randomized aggregation—0
Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario ReductionCode0
Localized Adaptive Risk ControlCode0
Towards Marginal Fairness Sliced Wasserstein Barycenter—0
Automating Data Annotation under Strategic Human Agents: Risks and Potential SolutionsCode0
Intrinsic Fairness-Accuracy Tradeoffs under Equalized Odds—0
Data Trading Combination Auction Mechanism based on the Exponential Mechanism—0
Fairness in Reinforcement Learning: A Survey—0
Fair Graph Representation Learning via Sensitive Attribute DisentanglementCode0
Fair Mixed Effects Support Vector MachineCode0
Is the panel fair? Evaluating panel compositions through network analysis. The case of research assessments in Italy—0
Bridging the Gap: Protocol Towards Fair and Consistent Affect AnalysisCode0
Advantageous and disadvantageous inequality aversion can be taught through vicarious learning of others' preferences—0
Trustworthy AI-Generative Content for Intelligent Network Service: Robustness, Security, and Fairness—0
Testing the Fairness-Accuracy Improvability of Algorithms—0
Mitigating Bias Using Model-Agnostic Data Attribution—0
LLMs with Personalities in Multi-issue Negotiation Games—0
Beyond human subjectivity and error: a novel AI grading system—0
Differentially Private Post-Processing for Fair RegressionCode0
The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring—0
FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models—0
Hire Me or Not? Examining Language Model's Behavior with Occupation AttributesCode0
Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization—0
Learning under Imitative Strategic Behavior with Unforeseeable OutcomesCode0
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks—0
Multi-Objective Recommendation via Multivariate Policy LearningCode0
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning—0
How to Diversify any Personalized Recommender? A User-centric Pre-processing approach—0
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems—0
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System—0
The Trade-off between Performance, Efficiency, and Fairness in Adapter Modules for Text Classification—0
Language Fairness in Multilingual Information RetrievalCode0
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization ApproachCode0
Non-iterative Optimization of Trajectory and Radio Resource for Aerial NetworkCode0
Type2Branch: Keystroke Biometrics based on a Dual-branch Architecture with Attention Mechanisms and Set2set Loss—0
Individual Fairness Through Reweighting and Tuning—0
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?—0
Are Models Biased on Text without Gender-related Language?Code0
Multigroup Robustness—0
Neural Dynamic Data Valuation—0
Fairness Without Demographics in Human-Centered Federated Learning—0
Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNsCode0
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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