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Fairness

Papers

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Showing 4901–4950 of 5676 papers

TitleStatusHype
Data Representativeness in Accessibility Datasets: A Meta-Analysis—0
Data Representativity for Machine Learning and AI Systems—0
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning—0
Dataset | Mindset = Explainable AI | Interpretable AI—0
Dataset Representativeness and Downstream Task Fairness—0
Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution—0
Datasheets for Machine Learning Sensors: Towards Transparency, Auditability, and Responsibility for Intelligent Sensing—0
Data Trading Combination Auction Mechanism based on the Exponential Mechanism—0
Data vs. Model Machine Learning Fairness Testing: An Empirical Study—0
DBFed: Debiasing Federated Learning Framework based on Domain-Independent—0
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias—0
Dbias: Detecting biases and ensuring Fairness in news articles—0
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning—0
DeAR: Debiasing Vision-Language Models with Additive Residuals—0
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs—0
Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications—0
De-biased Representation Learning for Fairness with Unreliable Labels—0
Debiasing classifiers: is reality at variance with expectation?—0
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model—0
Debiasing Graph Representation Learning based on Information Bottleneck—0
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey—0
Debiasing Neural Retrieval via In-batch Balancing Regularization—0
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention—0
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation—0
DECAF: Learning to be Fair in Multi-agent Resource Allocation—0
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models—0
DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis—0
Decentralized Annuity: A Quest for the Holy Grail of Lifetime Financial Security—0
A Low-Delay MAC for IoT Applications: Decentralized Optimal Scheduling of Queues without Explicit State Information Sharing—0
Decentralized Smart Charging of Large-Scale EVs using Adaptive Multi-Agent Multi-Armed Bandits—0
Deciding What's Fair: Challenges of Applying Reinforcement Learning in Online Marketplaces—0
Decision Making with Differential Privacy under a Fairness Lens—0
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression—0
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models—0
Decoupled classifiers for fair and efficient machine learning—0
Deep Bayesian Trust : A Dominant and Fair Incentive Mechanism for Crowd—0
DeepFair: Deep Learning for Improving Fairness in Recommender Systems—0
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks—0
Deep Fair Multi-View Clustering with Attention KAN—0
Data-Driven Fairness Generalization for Deepfake Detection—0
Deep F-measure Maximization for End-to-End Speech Understanding—0
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups—0
Deep Learning Aided Beamforming for Downlink Non-Orthogonal Multiple Access Systems—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications—0
Deep Learning-based Power Control for Cell-Free Massive MIMO Networks—0
Deep Learning feature selection to unhide demographic recommender systems factors—0
Deep Learning in the Field of Biometric Template Protection: An Overview—0
Deep Learning Meets Mechanism Design: Key Results and Some Novel Applications—0
Deep Learning of Intrinsically Motivated Options in the Arcade Learning Environment—0
Deep Reinforcement Learning-Based User Association in Hybrid LiFi/WiFi Indoor Networks—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