Data Augmentation

Robustness to Capitalization Errors in Named Entity Recognition EMNLP 2019 Soft Contextual Data Augmentation for Neural Machine Translation ACL 2019 Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification CVPR 2019 The University of Sydney’s Machine Translation System for WMT19 ACL 2019 Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization EMNLP 2019 Adversarially Occluded Samples for Person Re-Identification CVPR 2018 A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check EMNLP 2018 Between-Class Learning for Image Classification CVPR 2018 Classification-Driven Dynamic Image Enhancement CVPR 2018 Data Augmentation for Neural Online Chats Response Selection EMNLP 2018 Deep Embedded Clustering with Data Augmentation ACML 2018 Feature Space Transfer for Data Augmentation CVPR 2018 Generating High-Quality Surface Realizations Using Data Augmentation and Factored Sequence Models ACL 2018 Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation CVPR 2018 Learning from Between-class Examples for Deep Sound Recognition ICLR 2018 Multi-paraphrase Augmentation to Leverage Neural Caption Translation EMNLP 2018 Multi-Source Neural Machine Translation with Data Augmentation EMNLP 2018 RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs ACML 2018 Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks CVPR 2018 SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation EMNLP 2018 Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks CVPR 2018 A Bayesian Data Augmentation Approach for Learning Deep Models NeurIPS 2017 Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NeurIPS 2017 AGA: Attribute-Guided Augmentation CVPR 2017 Data Augmentation for Low-Resource Neural Machine Translation ACL 2017