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Data Augmentation

3622 directly classified papers

Papers per year

Papers

Fixing the train-test resolution discrepancy NIPS 2019
Fast AutoAugment NIPS 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks NIPS 2019
Learning Data Manipulation for Augmentation and Weighting NIPS 2019
Progressive Augmentation of GANs NIPS 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning NIPS 2019
Can Neural Networks Understand Monotonicity Reasoning? ACL 2019
Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge ACL 2019
Data augmentation using back-translation for context-aware neural machine translation EMNLP 2019
Corpora Generation for Grammatical Error Correction NAACL 2019
AutoAugment: Learning Augmentation Strategies From Data CVPR 2019
Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age AAAI 2019
Image Synthesis with a Convolutional Capsule Generative Adversarial Network MIDL 2019
Improving Semantic Segmentation via Video Propagation and Label Relaxation CVPR 2019
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation CVPR 2019
Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification CVPR 2019
Handling Syntactic Divergence in Low-resource Machine Translation EMNLP 2019
Hotels-50K: A Global Hotel Recognition Dataset AAAI 2019
Few-Shot Learning via Saliency-Guided Hallucination of Samples CVPR 2019
Dissecting Person Re-Identification From the Viewpoint of Viewpoint CVPR 2019
Bag of Tricks for Image Classification with Convolutional Neural Networks CVPR 2019
Learning to Generate Synthetic Data via Compositing CVPR 2019
Soft Contextual Data Augmentation for Neural Machine Translation ACL 2019
Normalizing Non-canonical Turkish Texts Using Machine Translation Approaches ACL 2019
Artificial Error Generation with Fluency Filtering ACL 2019