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data augmentation

3037 papers

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Also known as

DA-MCMC DADA DA TTA ADA EDA

Co-occurring keywords

text classification (6776) large language model (12755) transfer learning (5442) semi-supervised learning (2331) few-shot learning (3390) domain adaptation (4578) machine translation (2472) image classification (1943) language model (4573) low-resource language (2234)

Papers

Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules ICML 2019
Rare Sound Event Detection Using Deep Learning and Data Augmentation INTERSPEECH 2019
MixUp as Locally Linear Out-of-Manifold Regularization AAAI 2019
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection IJCAI 2019
Robustness to Capitalization Errors in Named Entity Recognition EMNLP 2019
Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank AAAI 2019
MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty MIDL 2019
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation MIDL 2019
Exploring Pre-trained Language Models for Event Extraction and Generation ACL 2019
SolomonLab at SemEval-2019 Task 8: Question Factuality and Answer Veracity Prediction in Community Forums SEMEVAL 2019
Data Augmentation Using Variational Autoencoder for Embedding Based Speaker Verification INTERSPEECH 2019
Data Augmentation Improves Recognition of Foreign Accented Speech INTERSPEECH 2018
BUT OpenSAT 2017 Speech Recognition System INTERSPEECH 2018
Training Utterance-level Embedding Networks for Speaker Identification and Verification INTERSPEECH 2018
Aggression Detection in Social Media: Using Deep Neural Networks, Data Augmentation, and Pseudo Labeling COLING 2018
Scaling up Data Augmentation MCMC via Calibration JMLR 2018
Generating High-Quality Surface Realizations Using Data Augmentation and Factored Sequence Models ACL 2018
OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers Using Piecewise Convolutional Neural Networks SEMEVAL 2018
Aggression Identification Using Deep Learning and Data Augmentation COLING 2018
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations NAACL 2018
Findings of the Second Workshop on Neural Machine Translation and Generation ACL 2018
Semantically Equivalent Adversarial Rules for Debugging NLP models ACL 2018
RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs ACML 2018
Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction NAACL 2018
Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding COLING 2018