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Found 5 papers, 1 papers with code
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Privacy concerns have attracted increasing attention in data-driven products due to the tendency of machine learning models to memorize sensitive training data.
Hybrid Generative Models for Two-Dimensional Datasets
Two-dimensional array-based datasets are pervasive in a variety of domains.
Ellipse Loss for Scene-Compliant Motion Prediction
Motion prediction is a critical part of self-driving technology, responsible for inferring future behavior of traffic actors in autonomous vehicle's surroundings.
A Unified Framework for Multiclass and Multilabel Support Vector Machines
We propose a straightforward extension to the SVM to cope with multiclass and multilabel classification problems within a unified framework.
A Hidden Variables Approach to Multilabel Logistic Regression
Multilabel classification is an important problem in a wide range of domains such as text categorization and music annotation.
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