SOTAVerified

Fairness

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5051–5075 of 5676 papers

TitleStatusHype
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification—0
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning—0
Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring?—0
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers—0
Doing Right by Not Doing Wrong in Human-Robot Collaboration—0
Do Large GPT Models Discover Moral Dimensions in Language Representations? A Topological Study Of Sentence Embeddings—0
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers—0
Do LLM Agents Exhibit Social Behavior?—0
Domain Adaptation meets Individual Fairness. And they get along—0
Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition—0
Dominant Resource Fairness with Meta-Types—0
Do Not Harm Protected Groups in Debiasing Language Representation Models—0
Don't Forget What I did?: Assessing Client Contributions in Federated Learning—0
Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection—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 Kill the Baby: The Case for AI in Arbitration—0
Doubly Constrained Fair Clustering—0
Doubly Fair Dynamic Pricing—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
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
Show:102550
← PrevPage 203 of 228Next →
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