SOTAVerified

Fairness

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2401–2450 of 5676 papers

TitleStatusHype
Don't Kill the Baby: The Case for AI in Arbitration—0
Benchmarking Bias in Large Language Models during Role-Playing—0
An Admissible Shift-Consistent Method for Recommender Systems—0
Don't Judge Me by My Face : An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews—0
Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection—0
Don't Forget What I did?: Assessing Client Contributions in Federated Learning—0
Do Not Harm Protected Groups in Debiasing Language Representation Models—0
A Deep Learning Approach for User-Centric Clustering in Cell-Free Massive MIMO Systems—0
Dominant Resource Fairness with Meta-Types—0
Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition—0
BenchmarkCards: Large Language Model and Risk Reporting—0
Domain Adaptation meets Individual Fairness. And they get along—0
A Multivocal Literature Review on Privacy and Fairness in Federated Learning—0
Do LLM Agents Exhibit Social Behavior?—0
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers—0
Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set—0
Multi-FR: A Multi-objective Optimization Framework for Multi-stakeholder Fairness-aware Recommendation—0
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research—0
Achieving Fairness with a Simple Ridge Penalty—0
A Benchmark for Fairness-Aware Graph Learning—0
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification—0
AI for All: Identifying AI incidents Related to Diversity and Inclusion—0
Metric Learning for Individual Fairness—0
Do Large GPT Models Discover Moral Dimensions in Language Representations? A Topological Study Of Sentence Embeddings—0
Doing Right by Not Doing Wrong in Human-Robot Collaboration—0
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
Show:102550
← PrevPage 49 of 114Next →
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