Data Augmentation

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks EMNLP 2019 Efficient Augmentation via Data Subsampling ICLR 2019 Erroneous data generation for Grammatical Error Correction ACL 2019 Fast AutoAugment NeurIPS 2019 Few-Shot Learning via Saliency-Guided Hallucination of Samples CVPR 2019 Fixing the train-test resolution discrepancy NeurIPS 2019 Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound Classification ACML 2019 IITP-MT System for Gujarati-English News Translation Task at WMT 2019 ACL 2019 Implicit Semantic Data Augmentation for Deep Networks NeurIPS 2019 Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text ACL 2019 Improving Precision of Grammatical Error Correction with a Cheat Sheet ACL 2019 Improving Semantic Segmentation via Video Propagation and Label Relaxation CVPR 2019 Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation AAAI 2019 LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning CVPR 2019 Learning Data Manipulation for Augmentation and Weighting NeurIPS 2019 Learning to Ask Unanswerable Questions for Machine Reading Comprehension ACL 2019 Learning to Augment with Feature Side-information ACML 2019 Learning to Generate Synthetic Data via Compositing CVPR 2019 MIGAN: Malware Image Synthesis Using GANs AAAI 2019 MixMatch: A Holistic Approach to Semi-Supervised Learning NeurIPS 2019 MixUp as Locally Linear Out-of-Manifold Regularization AAAI 2019 Neural Machine Translation for English–Kazakh with Morphological Segmentation and Synthetic Data ACL 2019 On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks NeurIPS 2019 PROMT Systems for WMT 2019 Shared Translation Task ACL 2019 Robust Multi-Object Detection Based on Data Augmentation with Realistic Image Synthesis for Point-of-Sale Automation AAAI 2019