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Fairness

Papers

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Showing 5201–5250 of 5676 papers

TitleStatusHype
Group-based Fair Learning Leads to Counter-intuitive Predictions—0
The Bouncer Problem: Challenges to Remote ExplainabilityCode0
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural NetworksCode0
Privacy-Aware Text Rewriting—0
Generating Fair Universal Representations using Adversarial Models—0
Stablizing Adversarial Invariance Induction by Discriminator Matching—0
Geometry-aware Generation of Adversarial and Cooperative Point Clouds—0
Pareto Optimality in No-Harm Fairness—0
FR-GAN: Fair and Robust Training—0
The fairness-accuracy landscape of neural classifiers—0
Fairness with Wasserstein Adversarial Networks—0
A New Approach to Fair Distribution of Welfare—0
Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches—0
Weighted Envy-Freeness in Indivisible Item Allocation—0
Causal Modeling for Fairness in Dynamical SystemsCode0
Advancing subgroup fairness via sleeping experts—0
AdaFair: Cumulative Fairness Adaptive BoostingCode0
Learning to Deceive with Attention-Based ExplanationsCode0
A Distributed Fair Machine Learning Framework with Private Demographic Data ProtectionCode0
Truthful and Faithful Monetary Policy for a Stablecoin Conducted by a Decentralised, Encrypted Artificial Intelligence—0
ALTER: Auxiliary Text Rewriting Tool for Natural Language GenerationCode0
DL2: A Deep Learning-driven Scheduler for Deep Learning ClustersCode0
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and TransparencyCode1
Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle—0
Q-Learning Based Aerial Base Station Placement for Fairness Enhancement in Mobile Networks—0
Learning Fair Rule ListsCode0
Equalizing Recourse across Groups—0
Pretrained AI Models: Performativity, Mobility, and Change—0
Optimizing Generalized Rate Metrics through Game Equilibrium—0
Reinforcement Learning for Joint Optimization of Multiple Rewards—0
Approaching Machine Learning Fairness through Adversarial Network—0
Master your Metrics with CalibrationCode0
Avoiding Resentment Via Monotonic FairnessCode0
Quantifying Infra-Marginality and Its Trade-off with Group Fairness—0
Counterfactual Risk Assessments, Evaluation, and FairnessCode0
Multi-Objective Automatic Machine Learning with AutoxgboostMC—0
Fairness-Aware Process Mining—0
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal DataCode0
A Survey on Bias and Fairness in Machine LearningCode0
A Center in Your Neighborhood: Fairness in Facility Location—0
Fairness in Deep Learning: A Computational Perspective—0
Efficient Task-Specific Data Valuation for Nearest Neighbor AlgorithmsCode0
Data Management for Causal Algorithmic Fairness—0
Towards Reducing Biases in Combining Multiple Experts Online—0
Recommender Systems Fairness Evaluation via Generalized Cross Entropy—0
Radio Resource Management for V2V Multihop Communication Considering Adjacent Channel Interference—0
Bayesian Inference for Large Scale Image Classification—0
"Conservatives Overfit, Liberals Underfit": The Social-Psychological Control of Affect and Uncertainty—0
Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning—0
On the Existence of Simpler Machine Learning Models—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