Data Augmentation

Learning Sound Events from Webly Labeled Data IJCAI 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 Light Field Messaging With Deep Photographic Steganography CVPR 2019 Linguistically Motivated Parallel Data Augmentation for Code-Switch Language Modeling Interspeech 2019 Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions AAAI 2019 Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning AAAI 2019 Manifold Mixup: Better Representations by Interpolating Hidden States ICML 2019 Manipulating the Difficulty of C-Tests ACL 2019 Meta-Sim: Learning to Generate Synthetic Datasets ICCV 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 Mixup Learning Strategies for Text-Independent Speaker Verification Interspeech 2019 MoNoise: A Multi-lingual and Easy-to-use Lexical Normalization Tool ACL 2019 Morphology-aware Word-Segmentation in Dialectal Arabic Adaptation of Neural Machine Translation ACL 2019 MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty MIDL 2019 Multi-Dimensional Classification via kNN Feature Augmentation AAAI 2019 Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data EMNLP 2019 Multi-Level Memory for Task Oriented Dialogs NAACL 2019 Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation ACL 2019 Neural Inverse Knitting: From Images to Manufacturing Instructions ICML 2019 Noisy Parallel Corpus Filtering through Projected Word Embeddings ACL 2019 Non-Parallel Voice Conversion Using Weighted Generative Adversarial Networks Interspeech 2019