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Fairness

Papers

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Showing 5051–5100 of 5676 papers

TitleStatusHype
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification—0
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning—0
Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring?—0
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers—0
Doing Right by Not Doing Wrong in Human-Robot Collaboration—0
Do Large GPT Models Discover Moral Dimensions in Language Representations? A Topological Study Of Sentence Embeddings—0
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers—0
Do LLM Agents Exhibit Social Behavior?—0
Domain Adaptation meets Individual Fairness. And they get along—0
Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition—0
Dominant Resource Fairness with Meta-Types—0
Do Not Harm Protected Groups in Debiasing Language Representation Models—0
Don't Forget What I did?: Assessing Client Contributions in Federated Learning—0
Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection—0
Don't Judge Me by My Face : An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews—0
Don't Kill the Baby: The Case for AI in Arbitration—0
Doubly Constrained Fair Clustering—0
Doubly Fair Dynamic Pricing—0
Doubly Robust Fusion of Many Treatments for Policy Learning—0
Downstream Effects of Affirmative Action—0
Downstream Fairness Caveats with Synthetic Healthcare Data—0
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service—0
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework—0
DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Demonstration and Reasoning—0
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks—0
DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes—0
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age—0
Dual Node and Edge Fairness-Aware Graph Partition—0
DVM: Towards Controllable LLM Agents in Social Deduction Games—0
Dynamical Isometry based Rigorous Fair Neural Architecture Search—0
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness—0
Dynamic Fair Federated Learning Based on Reinforcement Learning—0
Dynamic fairness-aware recommendation through multi-agent social choice—0
Dynamic Fairness-Aware Spectrum Auction for Enhanced Licensed Shared Access in 6G Networks—0
Dynamic fairness - Breaking vicious cycles in automatic decision making—0
Dynamic Modeling and Equilibria in Fair Decision Making—0
Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees—0
Dynamic Pricing for On-Demand DNN Inference in the Edge-AI Market—0
Dynamic Scheduling Strategies for Resource Optimization in Computing Environments—0
Dynamic Slimmable Denoising Network—0
E2FL: Equal and Equitable Federated Learning—0
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies—0
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders—0
Fair Incentives for Repeated Engagement—0
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads—0
EchoQA: A Large Collection of Instruction Tuning Data for Echocardiogram Reports—0
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation—0
Editable Fairness: Fine-Grained Bias Mitigation in Language Models—0
Vertical Allocation-based Fair Exposure Amortizing in Ranking—0
Efficiency and Sequenceability in Fair Division of Indivisible Goods with Additive Preferences—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