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Fairness

Papers

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Showing 2151–2200 of 5676 papers

TitleStatusHype
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions—0
Comparative Evaluation of Multiagent Learning Algorithms in a Diverse Set of Ad Hoc Team Problems—0
A Sociotechnical Lens for Evaluating Computer Vision Models: A Case Study on Detecting and Reasoning about Gender and Emotion—0
Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images—0
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem—0
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems—0
FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning—0
Compact Argumentation Frameworks—0
Common Ground, Diverse Roots: The Difficulty of Classifying Common Examples in Spanish Varieties—0
Asking an AI for salary negotiation advice is a matter of concern: Controlled experimental perturbation of ChatGPT for protected and non-protected group discrimination on a contextual task with no clear ground truth answers—0
Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship—0
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization—0
AGR: Age Group fairness Reward for Bias Mitigation in LLMs—0
A Critical Survey on Fairness Benefits of Explainable AI—0
Fairness-Aware Node Representation Learning—0
Combining Adversaries with Anti-adversaries in Training—0
fairml: A Statistician's Take on Fair Machine Learning Modelling—0
Fairness-Aware Multi-Server Federated Learning Task Delegation over Wireless Networks—0
Fair Combinatorial Auction for Blockchain Trade Intents: Being Fair without Knowing What is Fair—0
Fair Minimum Representation Clustering—0
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective—0
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features—0
A short review of the main concerns in A.I. development and application within the public sector supported by NLP and TM—0
fairmetrics: An R package for group fairness evaluation—0
A Seven-Layer Model for Standardising AI Fairness Assessment—0
Fair Meta-Learning: Learning How to Learn Fairly—0
Fair Meta-Learning For Few-Shot Classification—0
Collusion Detection with Graph Neural Networks—0
Adversarial training approach for local data debiasing—0
Fair Matrix Factorisation for Large-Scale Recommender Systems—0
Collision Cross-entropy for Soft Class Labels and Deep Clustering—0
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems—0
Fair mapping—0
Fair Minimum Representation Clustering via Integer Programming—0
Combinatorial Sleeping Bandits with Fairness Constraints—0
FairMixRep : Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints—0
College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion—0
Accelerating Spectral Clustering under Fairness Constraints—0
Combining Machine Learning Defenses without Conflicts—0
FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation—0
ComFairGNN: Community Fair Graph Neural Network—0
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity—0
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification—0
FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models—0
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting—0
FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs—0
Fair Multi-Exit Framework for Facial Attribute Classification—0
Fair Multi-party Machine Learning -- a Game Theoretic approach—0
Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support—0
Network Revenue Management with Demand Learning and Fair Resource-Consumption Balancing—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