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Fairness

Papers

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Showing 2551–2600 of 5676 papers

TitleStatusHype
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML—0
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model—0
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers—0
All of the Fairness for Edge Prediction with Optimal Transport—0
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm—0
A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization—0
DIF: A Framework for Benchmarking and Verifying Implicit Bias in LLMs—0
Developing a Philosophical Framework for Fair Machine Learning: Lessons From The Case of Algorithmic Collusion—0
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks—0
Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness—0
Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions—0
Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D)—0
Back to the Drawing Board for Fair Representation Learning—0
Detection of Groups with Biased Representation in Ranking—0
Detection and Mitigation of Bias in Ted Talk Ratings—0
Information-Geometric Barycenters for Bayesian Federated Learning—0
Alleviating the recommendation bias via rank aggregation—0
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings using Spine MRI data—0
Detecting Prefix Bias in LLM-based Reward Models—0
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables—0
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias—0
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing—0
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs—0
Detecting algorithmic bias in medical-AI models using trees—0
Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations—0
Designing Long-term Group Fair Policies in Dynamical Systems—0
Designing for Human Rights in AI—0
Axiomatic characterizations of some simple risk-sharing rules—0
Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Risks—0
Designing Fairness in Autonomous Peer-to-peer Energy Trading—0
Designing Fair AI for Managing Employees in Organizations: A Review, Critique, and Design Agenda—0
Avoiding Discrimination through Causal Reasoning—0
A Video-based Detector for Suspicious Activity in Examination with OpenPose—0
She had Cobalt Blue Eyes: Prompt Testing to Create Aligned and Sustainable Language Models—0
Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods—0
Desiderata for Explainable AI in statistical production systems of the European Central Bank—0
Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models—0
A Versatile Framework for Evaluating Ranked Lists in terms of Group Fairness and Relevance—0
A Lightweight Transmission Parameter Selection Scheme Using Reinforcement Learning for LoRaWAN—0
Deontic Temporal Logic for Formal Verification of AI Ethics—0
Demystifying the Effects of Non-Independence in Federated Learning—0
Algorithms, Incentives, and Democracy—0
Demystifying Deep Neural Networks Through Interpretation: A Survey—0
DemoShapley: Valuation of Demonstrations for In-Context Learning—0
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing—0
Algorithms for Fair Team Formation in Online Labour Marketplaces—0
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models—0
Achieving Fairness Across Local and Global Models in Federated Learning—0
A Balance for Fairness: Fair Distribution Utilising Physics in Games of Characteristic Function Form—0
Load Balancing in Federated Learning—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