SOTAVerified

Fairness

Papers

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Showing 2426–2450 of 5676 papers

TitleStatusHype
Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals—0
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers—0
Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring?—0
Behaviour4All: in-the-wild Facial Behaviour Analysis Toolkit—0
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems—0
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning—0
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification—0
BeFair: Addressing Fairness in the Banking Sector—0
BEATS: Bias Evaluation and Assessment Test Suite for Large Language Models—0
A Decomposition of the Max-min Fair Curriculum-based Course Timetabling Problem—0
Beam Blockage in Optical Wireless Systems—0
Does Data-Efficient Generalization Exacerbate Bias in Foundation Models?—0
Does calibration mean what they say it means; or, the reference class problem rises again—0
A Multidimensional Analysis of Social Biases in Vision Transformers—0
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification—0
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models—0
Bayes-Optimal Fair Classification with Multiple Sensitive Features—0
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity—0
A debiasing technique for place-based algorithmic patrol management—0
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective—0
Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence—0
Diversity in Faces—0
Diversity-Fair Online Selection—0
Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence—0
A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale—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