SOTAVerified

Fairness

Papers

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Showing 3601–3650 of 5676 papers

TitleStatusHype
Computing the Collection of Good Models for Rule Lists—0
Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection—0
Data Debugging with Shapley Importance over End-to-End Machine Learning PipelinesCode1
Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box ModelsCode0
DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation—0
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness—0
Fairness in Graph Mining: A SurveyCode1
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms—0
Ultra-marginal Feature Importance: Learning from Data with Causal GuaranteesCode0
Causality-based Neural Network Repair—0
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning—0
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual ModelsCode4
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes—0
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness—0
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability—0
Trinary Tools for Continuously Valued Binary Classifiers—0
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender SystemsCode1
Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection—0
Global Counterfactual Explanations: Investigations, Implementations and ImprovementsCode1
Sharing the Load: Considering Fairness in De-energization Scheduling to Mitigate Wildfire Ignition Risk using Rolling Optimization—0
Clinical trial site matching with improved diversity using fair policy learning—0
Fair Algorithm Design: Fair and Efficacious Machine Scheduling—0
Data Justice in Practice: A Guide for Developers—0
Integrating Distributed Energy Resources: Optimal Prosumer Decisions and Impacts of Net Metering Tariffs—0
Breaking Fair Binary Classification with Optimal Flipping Attacks—0
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles—0
ProFairRec: Provider Fairness-aware News RecommendationCode0
Segmenting across places: The need for fair transfer learning with satellite imagery—0
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural NetworksCode0
Introducing a Framework and a Decision Protocol to Calibrate Recommender Systems—0
Reputation as insurance: how reputation moderates public backlash following a company's decision to profiteer—0
Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic—0
A Deep Learning-Based Approach for Cell Outage Compensation in NOMA Networks—0
Vertical Allocation-based Fair Exposure Amortizing in Ranking—0
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective NeuronsCode1
Marrying Fairness and Explainability in Supervised Learning—0
Fault Diagnosis of Discrete-Event Systems under Non-Deterministic Observations with Output Fairness—0
Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading DecisionsCode1
Models and Mechanisms for Spatial Data Fairness—0
Achieving Long-Term Fairness in Sequential Decision MakingCode0
Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems—0
Differentially Private Sampling from Rashomon Sets, and the Universality of Langevin Diffusion for Convex Optimization—0
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems—0
Adjusting for Bias with Procedural DataCode0
Optimizing generalized Gini indices for fairness in rankings—0
A Critical Re-evaluation of Neural Methods for Entity AlignmentCode1
A Versatile Framework for Evaluating Ranked Lists in terms of Group Fairness and Relevance—0
FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation—0
Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder—0
INSPIRE: Distributed Bayesian Optimization for ImproviNg SPatIal REuse in Dense WLANs—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