SOTAVerified

Fairness

Papers

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Showing 3101–3150 of 5676 papers

TitleStatusHype
QuickSkill: Novice Skill Estimation in Online Multiplayer Games—0
RAB^2-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients—0
Racial categories in machine learning—0
Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English—0
Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter and What They Represent—0
RADAR: Robust AI-Text Detection via Adversarial Learning—0
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR—0
Radio Resource Management for V2V Multihop Communication Considering Adjacent Channel Interference—0
RAGUEL: Recourse-Aware Group Unfairness Elimination—0
RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework with LLM Agents—0
RAISE -- Radiology AI Safety, an End-to-end lifecycle approach—0
Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems—0
Randomized Classifiers vs Human Decision-Makers: Trustworthy AI May Have to Act Randomly and Society Seems to Accept This—0
Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism—0
Rank-Based Multi-task Learning for Fair Regression—0
Assisting Decision Making in Scholarly Peer Review: A Preference Learning Perspective—0
RankMat : Matrix Factorization with Calibrated Distributed Embedding and Fairness Enhancement—0
Rate-Splitting Multiple Access for Multi-Antenna Joint Radar and Communications with Partial CSIT: Precoder Optimization and Link-Level Simulations—0
Rate-Splitting Multiple Access for Multigroup Multicast and Multibeam Satellite Systems—0
Rate-Splitting Multiple Access for Overloaded Multi-group Multicast: A First Experimental Study—0
Rating Sentiment Analysis Systems for Bias through a Causal Lens—0
Rawlsian Fair Adaptation of Deep Learning Classifiers—0
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual—0
Reading Smiles: Proxy Bias in Foundation Models for Facial Emotion Recognition—0
README: REpresentation learning by fairness-Aware Disentangling MEthod—0
Real-Time Integrated Dispatching and Idle Fleet Steering with Deep Reinforcement Learning for A Meal Delivery Platform—0
Reasoning Inconsistencies and How to Mitigate Them in Deep Learning—0
Reasoning in Neurosymbolic AI—0
Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management—0
RECAST: Interactive Auditing of Automatic Toxicity Detection Models—0
Recent Advances in Bayesian Optimization—0
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank—0
Recent Developments in Recommender Systems: A Survey—0
Recommendation Fairness: From Static to Dynamic—0
Recommendation Fairness in Social Networks Over Time—0
Recommendations for Government Development and Use of Advanced Automated Systems to Make Decisions about Individuals—0
Recommender Systems Fairness Evaluation via Generalized Cross Entropy—0
Recommender Systems for Social Good: The Role of Accountability and Sustainability—0
Recommending on graphs: a comprehensive review from a data perspective—0
Recommending the right academic programs: An interest mining approach using BERTopic—0
Reconciling Heterogeneous Effects in Causal Inference—0
Reconciling Predictive and Statistical Parity: A Causal Approach—0
Reconfigurable Intelligent Sensing Surface enables Wireless Powered Communication Networks: Interference Suppression and Massive Wireless Energy Transfer—0
Reconfigurable Intelligent Surface Aided Constant-Envelope Wireless Power Transfer—0
Reconsidering Fairness Through Unawareness from the Perspective of Model Multiplicity—0
Recovering Fairness Directly from Modularity: a New Way for Fair Community Partitioning—0
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?—0
Recycling Privileged Learning and Distribution Matching for Fairness—0
Red Teaming Visual Language Models—0
Reducing Discrimination in Learning Algorithms for Social Good in Sociotechnical Systems—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