Data Augmentation

On The Evaluation of Machine Translation Systems Trained With Back-Translation ACL 2020 On the Generalization Effects of Linear Transformations in Data Augmentation ICML 2020 Optimizing Millions of Hyperparameters by Implicit Differentiation AISTATS 2020 OpusFilter: A Configurable Parallel Corpus Filtering Toolbox ACL 2020 Oxymorons: a preliminary corpus investigation ACL 2020 ParaCrawl: Web-Scale Acquisition of Parallel Corpora ACL 2020 Parallel Data Augmentation for Formality Style Transfer ACL 2020 Parallel resources for Tunisian Arabic Dialect Translation COLING 2020 Paraphrase Augmented Task-Oriented Dialog Generation ACL 2020 Partial Label Learning with Batch Label Correction AAAI 2020 PATQUEST: Papago Translation Quality Estimation EMNLP 2020 Pheonix at SemEval-2020 Task 5: Masking the Labels Lubricates Models for Sequence Labeling SemEval 2020 PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation EMNLP 2020 Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection EMNLP 2020 PointAugment: An Auto-Augmentation Framework for Point Cloud Classification CVPR 2020 Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information AISTATS 2020 Post-training Iterative Hierarchical Data Augmentation for Deep Networks NeurIPS 2020 Potential Driven Reinforcement Learning for Hard Exploration Tasks IJCAI 2020 Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup ICML 2020 Quantifying the Evaluation of Heuristic Methods for Textual Data Augmentation EMNLP 2020 RandAugment: Practical Automated Data Augmentation with a Reduced Search Space NeurIPS 2020 Random Erasing Data Augmentation AAAI 2020 Rapid Enhancement of NLP Systems by Acquisition of Data in Correlated Domains Interspeech 2020 Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective. MIDL 2020 Region Normalization for Image Inpainting AAAI 2020