SOTAVerified

Fairness

Papers

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Showing 4951–5000 of 5676 papers

TitleStatusHype
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics—0
Efficient and fair trading algorithms in market design environments—0
Thompson Sampling for Combinatorial Semi-bandits with Sleeping Arms and Long-Term Fairness Constraints—0
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine LearningCode1
Statistical Equity: A Fairness Classification ObjectiveCode0
Mitigating Gender Bias in Machine Learning Data Sets—0
Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AICode0
Designing for Human Rights in AI—0
Cyberbullying Detection with Fairness ConstraintsCode1
Adversarial Graph Embeddings for Fair Influence Maximization over Social NetworksCode1
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism PredictionCode1
Fair Algorithms for Hierarchical Agglomerative Clustering—0
Visualisation and knowledge discovery from interpretable models—0
Ensuring Fairness under Prior Probability Shifts—0
Sample Complexity of Uniform Convergence for Multicalibration—0
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems—0
Multi-agent Reinforcement Learning for Decentralized Stable Matching—0
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness—0
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and DifferencesCode1
Does Data Augmentation Improve Generalization in NLP?—0
Stereotype-Free Classification of Fictitious Faces—0
Genetic programming approaches to learning fair classifiersCode1
On the Reliability of Test Collections for Evaluating Systems of Different Types—0
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray ImagesCode0
An Epistemic Approach to the Formal Specification of Statistical Machine Learning—0
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds—0
Probabilistic Serial Mechanism for Multi-Type Resource Allocation—0
Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning ApproachCode1
Impact of different belief facets on agents' decision -- a refined cognitive architecture to model the interaction between organisations' institutional characteristics and agents' behaviour—0
Beam Blockage in Optical Wireless Systems—0
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning—0
Alleviating the recommendation bias via rank aggregation—0
Hierarchically Fair Federated Learning—0
Games for Fairness and Interpretability—0
A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization AlgorithmsCode2
Null It Out: Guarding Protected Attributes by Iterative Nullspace ProjectionCode1
Boxer: Interactive Comparison of Classifier Results—0
Poisoning Attacks on Algorithmic FairnessCode0
Individual Fairness in Pipelines—0
Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition ModelsCode0
FACT: A Diagnostic for Group Fairness Trade-offsCode0
FairNN- Conjoint Learning of Fair Representations for Fair DecisionsCode0
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object TrackingCode1
Abstracting Fairness: Oracles, Metrics, and Interpretability—0
Measuring Social Biases of Crowd Workers using Counterfactual Queries—0
FairALM: Augmented Lagrangian Method for Training Fair Models with Little RegretCode0
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples—0
Face Quality Estimation and Its Correlation to Demographic and Non-Demographic Bias in Face RecognitionCode1
Covariance-Robust Dynamic Watermarking—0
Individual Fairness in Advertising Auctions through Inverse Proportionality—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