SOTAVerified

Fairness

Papers

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Showing 2051–2100 of 5676 papers

TitleStatusHype
Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies—0
Don't Forget What I did?: Assessing Client Contributions in Federated Learning—0
Monotone Individual Fairness—0
Debiased Noise Editing on Foundation Models for Fair Medical Image ClassificationCode0
FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition—0
Measuring Bias in a Ranked List using Term-based Representations—0
VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI—0
APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation—0
Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image SynthesisCode0
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in HealthcareCode0
Provable Multi-Party Reinforcement Learning with Diverse Human Feedback—0
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated StereotypesCode0
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System—0
Boosting Fairness and Robustness in Over-the-Air Federated Learning—0
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated LearningCode0
An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4Code0
The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa—0
Bipartite Graph Variational Auto-Encoder with Fair Latent Representation to Account for Sampling Bias in Ecological Networks—0
Recommendations for Government Development and Use of Advanced Automated Systems to Make Decisions about Individuals—0
Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scansCode0
EMOVOME: A Dataset for Emotion Recognition in Spontaneous Real-Life SpeechCode0
Towards Fair and Efficient Learning-based Congestion ControlCode0
Critical windows: non-asymptotic theory for feature emergence in diffusion models—0
Exploring Fairness for FAS-assisted Communication Systems: from NOMA to OMA—0
Blockchain-empowered Federated Learning: Benefits, Challenges, and SolutionsCode0
Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency—0
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs—0
Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain—0
On the Inductive Biases of Demographic Parity-based Fair Learning AlgorithmsCode0
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective—0
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification—0
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness—0
FairBelief - Assessing Harmful Beliefs in Language Models—0
Supervised machine learning for microbiomics: bridging the gap between current and best practicesCode0
Towards Fairness-Aware Adversarial LearningCode0
Achievable Fairness on Your Data With Utility GuaranteesCode0
[RE] Modeling Personalized Item Frequency Information for Next-basket RecommendationCode0
Conformalized Selective Regression—0
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset—0
Distribution-Free Fair Federated Learning with Small Samples—0
Optimal Budget Aggregation with Star-Shaped Preferences—0
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency—0
Item-side Fairness of Large Language Model-based Recommendation SystemCode0
Differentially Private Fair Binary ClassificationsCode0
Scalable and Provably Fair Exposure Control for Large-Scale Recommender SystemsCode0
LLM-Assisted Content Conditional Debiasing for Fair Text Embedding—0
Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings—0
Federated Fairness without Access to Sensitive Groups—0
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness—0
Fairness Rising from the Ranks: HITS and PageRank on Homophilic Networks—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