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Fairness

Papers

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Showing 2501–2550 of 5676 papers

TitleStatusHype
Towards Fair and Calibrated Models—0
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations—0
Towards Deep Learning Models Resistant to Transfer-based Adversarial Attacks via Data-centric Robust Learning—0
A Critical Survey on Fairness Benefits of Explainable AI—0
Efficient Model-Agnostic Multi-Group Equivariant Networks—0
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability—0
Identifying and examining machine learning biases on Adult dataset—0
"Im not Racist but...": Discovering Bias in the Internal Knowledge of Large Language Models—0
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features—0
Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test SamplesCode0
Mitigating stereotypical biases in text to image generative systems—0
Positivity-free Policy Learning with Observational DataCode0
Fair Classifiers that Abstain without Harm—0
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model—0
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation—0
Post-hoc Bias Scoring Is Optimal For Fair ClassificationCode0
Unleashing the power of Neural Collapse for Transferability Estimation—0
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and RobustnessCode0
Foundation Models Meet Visualizations: Challenges and Opportunities—0
A Review of the Ethics of Artificial Intelligence and its Applications in the United States—0
Nash Welfare and Facility Location—0
Interventions Against Machine-Assisted Statistical Discrimination—0
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates—0
Multimarginal generative modeling with stochastic interpolants—0
Rethinking Fairness for Human-AI Collaboration—0
Developing a Novel Holistic, Personalized Dementia Risk Prediction Model via Integration of Machine Learning and Network Systems Biology Approaches—0
Digital Ethics in Federated Learning—0
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data—0
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms—0
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling—0
Nash Regret Guarantees for Linear Bandits—0
Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks—0
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features—0
A Learning Based Scheme for Fair Timeliness in Sparse Gossip Networks—0
LaPLACE: Probabilistic Local Model-Agnostic Causal ExplanationsCode0
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)—0
The Sem-Lex Benchmark: Modeling ASL Signs and Their PhonemesCode0
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools—0
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link PredictionCode0
Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect—0
Towards Poisoning Fair Representations—0
Constant Approximation for Individual Preference Stable Clustering—0
Max-Sliced Mutual Information—0
Automatic Feature Fairness in Recommendation via AdversariesCode0
Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives—0
(Predictable) Performance Bias in Unsupervised Anomaly Detection—0
Unveiling Fairness Biases in Deep Learning-Based Brain MRI ReconstructionCode0
Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey—0
Survey of Social Bias in Vision-Language Models—0
Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations—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