Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples
Learning Fair Representations
Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop
Certifiable Distributional Robustness with Principled Adversarial Training
The Foundations of Cost-Sensitive Learning
Decision Tree Classification with Differential Privacy: A Survey
Differentially Private Empirical Risk Minimization
A survey on measuring indirect discrimination in machine learning
Generalized Loss-Sensitive Adversarial Learning with Manifold Margins
Undoing the Damage of Dataset Bias
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
Discriminative learning for differing training and test distributions
Assessing binary classifiers using only positive and unlabeled data
Adversarial and Clean Data Are Not Twins
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
Learning from Imbalanced Data
Differentially private classification with decision tree ensemble
Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
New Fairness Metrics for Recommendation that Embrace Differences
From mental power to muscle power—gaining strength by using the mind
Characterization of noise and vibration sources in interior permanent-magnet brushless DC motors
User-defined Interface Gestures: Dataset and Analysis
Intelligent Traffic Information System Based on Integration of Internet of Things and Agent Technology
Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments