SOTAVerified

Fairness

Papers

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Showing 3851–3900 of 5676 papers

TitleStatusHype
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation—0
"Im not Racist but...": Discovering Bias in the Internal Knowledge of Large Language Models—0
Impact of Data Processing on Fairness in Supervised Learning—0
Impact of different belief facets on agents' decision -- a refined cognitive architecture to model the interaction between organisations' institutional characteristics and agents' behaviour—0
Impact of Fairness Regulations on Institutions' Policies and Population Qualifications—0
Impact of Gender Debiased Word Embeddings in Language Modeling—0
Impact of Objective Function on Spectral Efficiency in Integrated HAPS-Terrestrial Networks—0
Impartial utilitarianism on infinite utility streams—0
Implementing Fairness in AI Classification: The Role of Explainability—0
Implementing Fair Regression In The Real World—0
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects—0
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness—0
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network—0
Imposing Consistency Properties on Blackbox Systems with Applications to SVD-Based Recommender Systems—0
(Im)possibility of Collective Intelligence—0
Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness—0
Impossibility results for fair representations—0
Impossibility results for fair representation—0
Improved Adversarial Learning for Fair Classification—0
Improved Approximation Algorithms for Individually Fair Clustering—0
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention—0
Improving Compositionality of Neural Networks by Decoding Representations to Inputs—0
Improving Counterfactual Generation for Fair Hate Speech Detection—0
Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study—0
Improving Ethical Outcomes with Machine-in-the-Loop: Broadening Human Understanding of Data Annotations—0
Improving Fairness and Privacy in Selection Problems—0
Improving Fairness and Robustness in End-to-End Speech Recognition through unsupervised clustering—0
Improving Fairness for Data Valuation in Horizontal Federated Learning—0
Improving Fairness in Adaptive Social Exergames via Shapley Bandits—0
Improving Fairness in Credit Lending Models using Subgroup Threshold Optimization—0
Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Conformal Prediction Sets—0
Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues—0
Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information—0
Improving Fairness in LLMs Through Testing-Time Adversaries—0
Improving fairness in machine learning systems: What do industry practitioners need?—0
Improving Fairness in Photovoltaic Curtailments via Daily Topology Reconfiguration for Voltage Control in Power Distribution Networks—0
Improving Fairness in Speaker Recognition—0
Improving Fairness of AI Systems with Lossless De-biasing—0
Improving Fairness without Demographic by Lagged Dynamic Grouping—0
Improving Fair Training under Correlation Shifts—0
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting—0
Improving Large Language Model (LLM) fidelity through context-aware grounding: A systematic approach to reliability and veracity—0
Improving LLM Group Fairness on Tabular Data via In-Context Learning—0
Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs—0
Improving Robust Fairness via Balance Adversarial Training—0
Improving the Deferred Acceptance with Minimal Compromise—0
Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models—0
INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges—0
Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem—0
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality—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