SOTAVerified

Fairness

Papers

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Showing 3951–4000 of 5676 papers

TitleStatusHype
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness—0
Integrating Distributed Energy Resources: Optimal Prosumer Decisions and Impacts of Net Metering Tariffs—0
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A Case Study of Automated Video Interviews—0
Intelligent Reconfigurable Optical Wireless Ether—0
Interactional Fairness in LLM Multi-Agent Systems: An Evaluation Framework—0
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems—0
Modified Vector Quantization for Small-Cell Access Point Placement with Inter-Cell Interference—0
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation—0
Internal and External Impacts of Natural Language Processing Papers—0
Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems—0
Interpolating Item and User Fairness in Multi-Sided Recommendations—0
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set—0
Interpretable and Fair Boolean Rule Sets via Column Generation—0
Interpretable Artificial Intelligence through the Lens of Feature Interaction—0
Interpretable Assessment of Fairness During Model Evaluation—0
Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance—0
Interpretable Data-Based Explanations for Fairness Debugging—0
Interpretable Deep Convolutional Neural Networks via Meta-learning—0
Interpretable Face Manipulation Detection via Feature Whitening—0
On The Role of Reasoning in the Identification of Subtle Stereotypes in Natural Language—0
Intersectional Fairness: A Fractal Approach—0
Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces—0
Intersectionality and Testimonial Injustice in Medical Records—0
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach—0
Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment—0
Intriguing Properties of Input-dependent Randomized Smoothing—0
Intrinsic Fairness-Accuracy Tradeoffs under Equalized Odds—0
Introducing a Framework and a Decision Protocol to Calibrate Recommender Systems—0
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning—0
Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations—0
Investigating Bias and Fairness in Facial Expression Recognition—0
Investigating Bias in Image Classification using Model Explanations—0
Investigating Fairness of Ocular Biometrics Among Young, Middle-Aged, and Older Adults—0
Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain—0
Investigating Human + Machine Complementarity for Recidivism Predictions—0
Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain—0
Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems—0
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice—0
Investigating Responsible AI for Scientific Research: An Empirical Study—0
Investigating Speaker Embedding Disentanglement on Natural Read Speech—0
Investigating the configurations in cross-shareholding: a joint copula-entropy approach—0
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications—0
Investigating the Impact of LLM Personality on Cognitive Bias Manifestation in Automated Decision-Making Tasks—0
Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks—0
Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms—0
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education—0
Is calibration a fairness requirement? An argument from the point of view of moral philosophy and decision theory—0
Is ChatGPT a Good Personality Recognizer? A Preliminary Study—0
Is Conventional SNN Really Efficient? A Perspective from Network Quantization—0
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric 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