SOTAVerified

Fairness

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3451–3475 of 5676 papers

TitleStatusHype
Teaching the Old Dog New Tricks: Supervised Learning with Constraints—0
Technical Challenges for Training Fair Neural Networks—0
Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context—0
TED: Teaching AI to Explain its Decisions—0
Tell, don't show: Declarative facts influence how LLMs generalize—0
Temporal Fairness in Decision Making Problems—0
Temporal Fairness in Multiwinner Voting—0
Tensions Between the Proxies of Human Values in AI—0
Ten Years after ImageNet: A 360° Perspective on AI—0
Testing and Evaluation of Large Language Models: Correctness, Non-Toxicity, and Fairness—0
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness—0
Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets—0
Testing Framework for Black-box AI Models—0
Testing Group Fairness via Optimal Transport Projections—0
Testing software for non-discrimination: an updated and extended audit in the Italian car insurance domain—0
Testing Correctness, Fairness, and Robustness of Speech Emotion Recognition Models—0
Testing the Fairness-Accuracy Improvability of Algorithms—0
Testing the Performance of Face Recognition for People with Down Syndrome—0
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination—0
Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INES—0
Test-takers have a say: understanding the implications of the use of AI in language tests—0
Tetrad: Actively Secure 4PC for Secure Training and Inference—0
Text-to-Image Representativity Fairness Evaluation Framework—0
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers—0
The 1st Workshop on Human-Centered Recommender Systems—0
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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