data augmentation

TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP EMNLP 2020 TextAttack: Lessons learned in designing Python frameworks for NLP EMNLP 2020 Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation AACL 2020 Textual Data Augmentation for Efficient Active Learning on Tiny Datasets EMNLP 2020 The ADAPT Centre’s Neural MT Systems for the WAT 2020 Document-Level Translation Task AACL 2020 The LMU Munich System for the WMT20 Very Low Resource Supervised MT Task EMNLP 2020 The Origins and Prevalence of Texture Bias in Convolutional Neural Networks NeurIPS 2020 The Third Multilingual Surface Realisation Shared Task (SR’20): Overview and Evaluation Results COLING 2020 TMU Japanese-English Multimodal Machine Translation System for WAT 2020 AACL 2020 Tone Learning in Low-Resource Bilingual TTS Interspeech 2020 Towards Reversal-Based Textual Data Augmentation for NLI Problems with Opposable Classes ACL 2020 Towards Speech Robustness for Acoustic Scene Classification Interspeech 2020 Towards Universal Representation Learning for Deep Face Recognition CVPR 2020 Training Generative Adversarial Networks with Limited Data NeurIPS 2020 Training Keyword Spotting Models on Non-IID Data with Federated Learning Interspeech 2020 Training Question Answering Models From Synthetic Data EMNLP 2020 Transfer Learning for Improving Singing-Voice Detection in Polyphonic Instrumental Music Interspeech 2020 Transliteration Based Data Augmentation for Training Multilingual ASR Acoustic Models in Low Resource Settings Interspeech 2020 TransQuest at WMT2020: Sentence-Level Direct Assessment EMNLP 2020 Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures EMNLP 2020 UJNLP at SemEval-2020 Task 12: Detecting Offensive Language Using Bidirectional Transformers SemEval 2020 Undersensitivity in Neural Reading Comprehension EMNLP 2020 Understanding tables with intermediate pre-training EMNLP 2020 Unifying Input and Output Smoothing in Neural Machine Translation COLING 2020 Unsupervised Data Augmentation for Consistency Training NeurIPS 2020