Data Augmentation

Learning Augmentation Network via Influence Functions CVPR 2020 Learning Higher Representations from Pre-Trained Deep Models with Data Augmentation for the COMPARE 2020 Challenge Mask Task Interspeech 2020 Learning Invariances in Neural Networks from Training Data NeurIPS 2020 Learning Loss for Test-Time Augmentation NeurIPS 2020 Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization EMNLP 2020 Learning to Fuse Sentences with Transformers for Summarization EMNLP 2020 Learning to Incorporate Structure Knowledge for Image Inpainting AAAI 2020 Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition CVPR 2020 Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements SemEval 2020 Leveraging BERT with Mixup for Sentence Classification (Student Abstract) AAAI 2020 Leveraging User Paraphrasing Behavior In Dialog Systems To Automatically Collect Annotations For Long-Tail Utterances COLING 2020 Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation IJCAI 2020 Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation EMNLP 2020 Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets EMNLP 2020 Local Additivity Based Data Augmentation for Semi-supervised NER EMNLP 2020 Logic-Guided Data Augmentation and Regularization for Consistent Question Answering ACL 2020 Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification AAAI 2020 Low Distortion Block-Resampling with Spatially Stochastic Networks NeurIPS 2020 LungRN+NL: An Improved Adventitious Lung Sound Classification Using Non-Local Block ResNet Neural Network with Mixup Data Augmentation Interspeech 2020 M2m: Imbalanced Classification via Major-to-Minor Translation CVPR 2020 Machine Translation for English–Inuktitut with Segmentation, Data Acquisition and Pre-Training EMNLP 2020 Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness NeurIPS 2020 Measuring Forecasting Skill from Text ACL 2020 Meta Dropout: Learning to Perturb Latent Features for Generalization ICLR 2020 MetaPoison: Practical General-purpose Clean-label Data Poisoning NeurIPS 2020