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Fairness

3337 directly classified papers

Papers per year

Papers

Certifying Robustness to Programmable Data Bias in Decision Trees NIPS 2021
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning NIPS 2021
Bandit Learning with Delayed Impact of Actions NIPS 2021
Differentially Private Empirical Risk Minimization under the Fairness Lens NIPS 2021
Fair Sequential Selection Using Supervised Learning Models NIPS 2021
Moment Multicalibration for Uncertainty Estimation COLT 2021
Approximation Algorithms for Socially Fair Clustering COLT 2021
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models EACL 2021
Subgroup Generalization and Fairness of Graph Neural Networks NIPS 2021
Can Information Flows Suggest Targets for Interventions in Neural Circuits? NIPS 2021
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models NIPS 2021
An Information-theoretic Approach to Distribution Shifts NIPS 2021
Adaptive Sampling for Minimax Fair Classification NIPS 2021
Auditing Black-Box Prediction Models for Data Minimization Compliance NIPS 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective NIPS 2021
Learning Models for Actionable Recourse NIPS 2021
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation WACV 2021
Fair and Truthful Mechanisms for Dichotomous Valuations AAAI 2021
Measuring Social Biases in Grounded Vision and Language Embeddings NAACL 2021
Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning EMNLP 2021
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings EMNLP 2021
Understanding and Evaluating Racial Biases in Image Captioning ICCV 2021
Qualitative Analysis of Depression Models by Demographics NAACL 2021
Improving Counterfactual Generation for Fair Hate Speech Detection ACL 2021
Skew Orthogonal Convolutions ICML 2021