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Fairness

796 directly classified papers

Papers per year

Papers

Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets IJCNLP 2021
Dictionary-based Debiasing of Pre-trained Word Embeddings EACL 2021
Addressing fairness in classification with a model-agnostic multi-objective algorithm UAI 2021
Testing Group Fairness via Optimal Transport Projections ICML 2021
Enhancing Robustness of Neural Networks through Fourier Stabilization ICML 2021
Blind Pareto Fairness and Subgroup Robustness ICML 2021
Fair Selective Classification Via Sufficiency ICML 2021
On the Problem of Underranking in Group-Fair Ranking ICML 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels ICML 2021
Fairness and Bias in Online Selection ICML 2021
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees ICML 2021
Measuring Biases of Word Embeddings: What Similarity Measures and Descriptive Statistics to Use? NAACL 2021
District-Fair Participatory Budgeting AAAI 2021
Fair and Efficient Allocations under Lexicographic Preferences AAAI 2021
Scarce Societal Resource Allocation and the Price of (Local) Justice AAAI 2021
Justicia: A Stochastic SAT Approach to Formally Verify Fairness AAAI 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation AAAI 2021
Constructing a Fair Classifier with Generated Fair Data AAAI 2021
Improving Fairness and Privacy in Selection Problems AAAI 2021
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder AAAI 2021
Fairness in Forecasting and Learning Linear Dynamical Systems AAAI 2021
Fair Representations by Compression AAAI 2021
SCRUPLES: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes AAAI 2021
Fairness in Influence Maximization through Randomization AAAI 2021
Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization AAAI 2021