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Fairness

Papers

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Showing 701–750 of 5676 papers

TitleStatusHype
Where Did Your Model Learn That? Label-free Influence for Self-supervised LearningCode0
FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis—0
Does calibration mean what they say it means; or, the reference class problem rises again—0
Data-Driven Fairness Generalization for Deepfake Detection—0
Towards Environmentally Equitable AI—0
A Systems Thinking Approach to Algorithmic Fairness—0
FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion GenerationCode0
Decoding fairness: a reinforcement learning perspectiveCode0
Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study—0
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification—0
Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative?—0
FROC: Building Fair ROC from a Trained ClassifierCode0
Towards Friendly AI: A Comprehensive Review and New Perspectives on Human-AI Alignment—0
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous DrivingCode2
Operationalising Rawlsian Ethics for Fairness in Norm-Learning Agents—0
Movie2Story: A framework for understanding videos and telling stories in the form of novel text—0
FairTP: A Prolonged Fairness Framework for Traffic PredictionCode0
On Calibration in Multi-Distribution Learning—0
Heterogeneous Multi-Agent Reinforcement Learning for Distributed Channel Access in WLANs—0
Embedding Cultural Diversity in Prototype-based Recommender Systems—0
From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?—0
Common Ground, Diverse Roots: The Difficulty of Classifying Common Examples in Spanish Varieties—0
Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection—0
Information-Geometric Barycenters for Bayesian Federated Learning—0
Fairness Shields: Safeguarding against Biased Decision Makers—0
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification—0
Navigating Towards Fairness with Data Selection—0
p-Mean Regret for Stochastic BanditsCode0
Linear Programming based Approximation to Individually Fair k-Clustering with Outliers—0
FairGP: A Scalable and Fair Graph Transformer Using Graph PartitioningCode0
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of MulticalibrationCode0
Analyzing Fairness of Computer Vision and Natural Language Processing Models—0
Towards Fair Graph Neural Networks via Graph Counterfactual without Sensitive Attributes—0
Analyzing Fairness of Classification Machine Learning Model with Structured Dataset—0
When Can Memorization Improve Fairness?—0
SPRec: Leveraging Self-Play to Debias Preference Alignment for Large Language Model-based RecommendationsCode1
Uplift modeling with continuous treatments: A predict-then-optimize approachCode0
Towards Robust and Fair Vision Learning in Open-World Environments—0
Multimodal Approaches to Fair Image Classification: An Ethical Perspective—0
Coverage-based Fairness in Multi-document SummarizationCode0
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software—0
RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text RewritingCode0
FaceX: Understanding Face Attribute Classifiers through Summary Model ExplanationsCode0
Generative Adversarial Reviews: When LLMs Become the Critic—0
Political-LLM: Large Language Models in Political Science—0
Undergraduate Course Allocation through Competitive Markets—0
Can large language models be privacy preserving and fair medical coders?—0
Achieving Group Fairness through Independence in Predictive Process MonitoringCode0
Differentially Private Random Feature ModelCode0
Fair Diagnosis: Leveraging Causal Modeling to Mitigate Medical Bias—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