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Fairness

Papers

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Showing 651–700 of 5676 papers

TitleStatusHype
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data AugmentationCode0
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification—0
Simple and Effective Specialized Representations for Fair Classifiers—0
ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems—0
Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools?—0
DIF: A Framework for Benchmarking and Verifying Implicit Bias in LLMs—0
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical ImagingCode0
Fairness-aware Bayes optimal functional classification—0
Toward Fair Federated Learning under Demographic Disparities and Data ImbalanceCode0
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing—0
Fair Clustering via Alignment—0
Towards Fair In-Context Learning with Tabular Foundation ModelsCode0
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography—0
Source framing triggers systematic evaluation bias in Large Language Models—0
Beyond the Black Box: Interpretability of LLMs in Finance—0
Detecting Prefix Bias in LLM-based Reward Models—0
Joint Optimization of User Association and Resource Allocation for Load Balancing With Multi-Level Fairness—0
Aggregating Concepts of Accuracy and Fairness in Prediction Algorithms—0
Max-Min Fairness in Stacked Intelligent Metasurface-Aided Rate Splitting Networks—0
Doubly Robust Fusion of Many Treatments for Policy Learning—0
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML FairnessCode0
Wireless Link Scheduling with State-Augmented Graph Neural NetworksCode0
Justified Evidence Collection for Argument-based AI Fairness AssuranceCode0
A Unified Deterministic Channel Model for Multi-Type RIS with Reflective, Transmissive, and Polarization Operations—0
FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-KnowledgeCode0
Constrained Online Decision-Making: A Unified Framework—0
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs—0
Efficient Fairness Testing in Large Language Models: Prioritizing Metamorphic Relations for Bias Detection—0
Mixed-Integer Optimization for Responsible Machine Learning—0
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics—0
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification—0
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality—0
Algorithmic Tradeoffs in Fair Lending: Profitability, Compliance, and Long-Term Impact—0
Fairness Perceptions in Regression-based Predictive Models—0
Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine LearningCode0
LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and VulnerabilitiesCode0
Fair Uncertainty Quantification for Depression Prediction—0
Robust ML Auditing using Prior Knowledge—0
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation—0
Fairness of Automatic Speech Recognition in Cleft Lip and Palate Speech—0
Collective decisions under uncertainty: efficiency, ex-ante fairness, and normalization—0
Robust Fairness Vision-Language Learning for Medical Image AnalysisCode0
FairPO: Robust Preference Optimization for Fair Multi-Label Learning—0
The Multimodal Paradox: How Added and Missing Modalities Shape Bias and Performance in Multimodal AI—0
Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMsCode0
Social Biases in Knowledge Representations of Wikidata separates Global North from Global SouthCode0
Causally Fair Node Classification on Non-IID Graph Data—0
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models—0
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta LearningCode0
SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data AugmentationCode0
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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