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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

Neural Topic Modeling with Continual Lifelong Learning ICML 2020
On the Generalization Effects of Linear Transformations in Data Augmentation ICML 2020
On the Role of Supervision in Unsupervised Constituency Parsing EMNLP 2020
Neural Conversational QA: Learning to Reason vs Exploiting Patterns EMNLP 2020
Sequence-Level Mixed Sample Data Augmentation EMNLP 2020
KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision COLING 2020
ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation COLING 2020
SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup EMNLP 2020
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP EMNLP 2020
AlexU-BackTranslation-TL at SemEval-2020 Task 12: Improving Offensive Language Detection Using Data Augmentation and Transfer Learning SEMEVAL 2020
KEIS@JUST at SemEval-2020 Task 12: Identifying Multilingual Offensive Tweets Using Weighted Ensemble and Fine-Tuned BERT SEMEVAL 2020
Textual Data Augmentation for Efficient Active Learning on Tiny Datasets EMNLP 2020
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation EMNLP 2020
NEU at WNUT-2020 Task 2: Data Augmentation To Tell BERT That Death Is Not Necessarily Informative EMNLP 2020
Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation EMNLP 2020
CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features EMNLP 2020
How Should Markup Tags Be Translated? EMNLP 2020
Differentiable Augmentation for Data-Efficient GAN Training NIPS 2020
iNLTK: Natural Language Toolkit for Indic Languages EMNLP 2020
Boundary thickness and robustness in learning models NIPS 2020
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain NIPS 2020
One-sample Guided Object Representation Disassembling NIPS 2020
RandAugment: Practical Automated Data Augmentation with a Reduced Search Space NIPS 2020
Learning Invariances in Neural Networks from Training Data NIPS 2020
GradAug: A New Regularization Method for Deep Neural Networks NIPS 2020