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Data Augmentation

429 directly classified papers

Papers per year

Papers

Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory EMNLP 2020
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets EMNLP 2020
Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures EMNLP 2020
Quantifying the Evaluation of Heuristic Methods for Textual Data Augmentation EMNLP 2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing NIPS 2020
Chinese Grammatical Error Correction Based on Hybrid Models with Data Augmentation AACL 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup ICML 2020
Distribution Augmentation for Generative Modeling ICML 2020
Synthetic Examples Improve Generalization for Rare Classes WACV 2020
Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors ACL 2020
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation ACL 2020
Parallel Data Augmentation for Formality Style Transfer ACL 2020
NAT: Noise-Aware Training for Robust Neural Sequence Labeling ACL 2020
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation ACL 2020
Dice Loss for Data-imbalanced NLP Tasks ACL 2020
Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS INTERSPEECH 2020
Transliteration Based Data Augmentation for Training Multilingual ASR Acoustic Models in Low Resource Settings INTERSPEECH 2020
Conditional Response Augmentation for Dialogue Using Knowledge Distillation INTERSPEECH 2020
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition INTERSPEECH 2020
StoRIR: Stochastic Room Impulse Response Generation for Audio Data Augmentation INTERSPEECH 2020
Semi-Supervised Learning with Data Augmentation for End-to-End ASR INTERSPEECH 2020
Improving Cognitive Impairment Classification by Generative Neural Network-Based Feature Augmentation INTERSPEECH 2020
Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms INTERSPEECH 2020
Learning Higher Representations from Pre-Trained Deep Models with Data Augmentation for the COMPARE 2020 Challenge Mask Task INTERSPEECH 2020
Bandpass Noise Generation and Augmentation for Unified ASR INTERSPEECH 2020