← Learning Types
Deep Learning › Learning Types ›

Data Augmentation

434 directly classified papers

Papers per year

Papers

Data Augmentation for Low-Resource Neural Machine Translation ACL 2017
A Bayesian Data Augmentation Approach for Learning Deep Models NIPS 2017
What's in a Question: Using Visual Questions as a Form of Supervision CVPR 2017
S3Pool: Pooling With Stochastic Spatial Sampling CVPR 2017
Procedural Generation of Videos to Train Deep Action Recognition Networks CVPR 2017
AGA: Attribute-Guided Augmentation CVPR 2017
Data Augmentation Using Multi-Input Multi-Output Source Separation for Deep Neural Network Based Acoustic Modeling INTERSPEECH 2016
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild NIPS 2016
Transformation Pursuit for Image Classification CVPR 2014