SOTAVerified

Fairness

Papers

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Showing 3776–3800 of 5676 papers

TitleStatusHype
Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next—0
You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings—0
Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts—0
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings—0
Fair Feature Subset Selection using Multiobjective Genetic Algorithm—0
Improving the Deferred Acceptance with Minimal Compromise—0
Joint Multisided Exposure Fairness for RecommendationCode0
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making—0
Maxmin Participatory BudgetingCode0
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in RankingCode0
Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms—0
RankMat : Matrix Factorization with Calibrated Distributed Embedding and Fairness Enhancement—0
KL-Mat : Fair Recommender System via Information Geometry—0
Spending Privacy Budget Fairly and Wisely—0
MovieMat: Context-aware Movie Recommendation with Matrix Factorization by Matrix Fitting—0
Study on the Fairness of Speaker Verification Systems on Underrepresented Accents in English—0
On the Relationship Between Explanations, Fairness Perceptions, and Decisions—0
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker SatisfactionCode0
SoFaiR: Single Shot Fair Representation Learning—0
Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection—0
Explainable Fairness in Recommendation—0
Computing the Collection of Good Models for Rule Lists—0
DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation—0
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness—0
Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box ModelsCode0
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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