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Fairness

Papers

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Showing 3351–3400 of 5676 papers

TitleStatusHype
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus RankingCode0
A Game-theoretic Model of the Consumer Behavior Under Pay-What-You-Want Pricing Strategy—0
When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes—0
Indivisible Participatory Budgeting under Weak Rankings—0
Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation—0
Data Representativeness in Accessibility Datasets: A Meta-Analysis—0
Characterization of Group-Fair Social Choice Rules under Single-Peaked Preferences—0
From Single Aircraft to Communities: A Neutral Interpretation of Air Traffic Complexity Dynamics—0
More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias—0
Adversarial Reweighting for Speaker Verification Fairness—0
Modeling Quality and Machine Learning Pipelines through Extended Feature Models—0
SHAP-XRT: The Shapley Value Meets Conditional Independence TestingCode0
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey—0
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping—0
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions—0
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced LearningCode0
Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization—0
Causal Conceptions of Fairness and their Consequences—0
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness StrategiesCode0
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and UtilityCode0
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods—0
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale ExtractionCode1
Probing Classifiers are Unreliable for Concept Removal and Detection—0
Graph-based Multi-View Fusion and Local Adaptation: Mitigating Within-Household Confusability for Speaker Identification—0
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis—0
An Approach to Ensure Fairness in News ArticlesCode1
Enhancing Fairness of Visual Attribute PredictorsCode0
Individual Preference Stability for ClusteringCode0
Fairness and Bias in Robot Learning—0
Calibrate to InterpretCode0
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning ClassifiersCode0
Group Equality in Adaptive Submodular MaximizationCode0
Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines—0
User Pairing and Power Allocation for FTN-based SC-NOMA and MIMO-NOMA Systems Considering User Fairness—0
Rawlsian AssignmentsCode0
Developing a Philosophical Framework for Fair Machine Learning: Lessons From The Case of Algorithmic Collusion—0
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICsCode1
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts—0
Time-consistent pension policy with minimum guarantee and sustainability constraint—0
COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning—0
Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models—0
An Empirical Study on the Fairness of Pre-trained Word Embeddings—0
Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring—0
Benchmarking Intersectional Biases in NLPCode0
FAtNet: Cost-Effective Approach Towards Mitigating the Linguistic Bias in Speaker Verification SystemsCode0
Features or Spurious Artifacts? Data-centric Baselines for Fair and Robust Hate Speech DetectionCode0
Automatic scoring of short answers using justification cues estimated by BERT—0
A self-contained karma economy for the dynamic allocation of common resources—0
Causal Machine Learning: A Survey and Open Problems—0
Voluntary Information Disclosure in Centralized Matching: Efficiency Gains and Strategic Properties—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