SOTAVerified

Fairness

Papers

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Showing 3901–3950 of 5676 papers

TitleStatusHype
Incentive-Compatible Federated Learning with Stackelberg Game Modeling—0
Incentives in Private Collaborative Machine Learning—0
Inclusive normalization of face images to passport format—0
Accurately Classifying Out-Of-Distribution Data in Facial Recognition—0
Increasing Fairness via Combination with Learning Guarantees—0
Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization—0
IndianBailJudgments-1200: A Multi-Attribute Dataset for Legal NLP on Indian Bail Orders—0
Individual Calibration with Randomized Forecasting—0
(Individual) Fairness for k-Clustering—0
Individual Fairness under Uncertainty—0
Individual Fairness in Hindsight—0
Individual Fairness in Pipelines—0
Multi-Category Fairness in Sponsored Search Auctions—0
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness—0
Individual Fairness Through Reweighting and Tuning—0
Individually Fair Gradient Boosting—0
Individually Fair Learning with One-Sided Feedback—0
Individually Fair Ranking—0
Individually Fair Rankings—0
Individual specialization in multi-task environments with multiagent reinforcement learners—0
Indivisible Participatory Budgeting under Weak Rankings—0
Induced Modularity and Community Detection for Functionally Interpretable Reinforcement Learning—0
Bias-inducing geometries: an exactly solvable data model with fairness implications—0
Inducing Group Fairness in Prompt-Based Language Model Decisions—0
INFELM: In-depth Fairness Evaluation of Large Text-To-Image Models—0
Inference for an Algorithmic Fairness-Accuracy Frontier—0
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies—0
Inference-Time Rule Eraser: Fair Recognition via Distilling and Removing Biased Rules—0
Inference-Time Selective Debiasing—0
Influence Maximization with Fairness at Scale (Extended Version)—0
Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition—0
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation—0
Information Theoretic Measures for Fairness-aware Feature Selection—0
Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks—0
Inherent Tradeoffs in Learning Fair Representations—0
Inherent Trade-offs in the Fair Allocation of Treatments—0
Inherent Trade-Offs in the Fair Determination of Risk Scores—0
Initial Classifier Weights Replay for Memoryless Class Incremental Learning—0
Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4—0
Innovations in Neural Data-to-text Generation: A Survey—0
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation—0
In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems—0
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing—0
InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?—0
Insider Trading with Penalties—0
Insights From Insurance for Fair Machine Learning—0
Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning—0
Inspecting Model Fairness in Ultrasound Segmentation Tasks—0
INSPIRE: Distributed Bayesian Optimization for ImproviNg SPatIal REuse in Dense WLANs—0
Instrumentation and Analysis of Native ML Pipelines via Logical Query Plans—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