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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

XSYSIGMA at SemEval-2020 Task 7: Method for Predicting Headlines’ Humor Based on Auxiliary Sentences with EI-BERT COLING 2020
Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles COLING 2020
AlexU-BackTranslation-TL at SemEval-2020 Task 12: Improving Offensive Language Detection Using Data Augmentation and Transfer Learning COLING 2020
Medication Mention Detection in Tweets Using ELECTRA Transformers and Decision Trees COLING 2020
Overcoming Language Priors with Self-supervised Learning for Visual Question Answering IJCAI 2020
Effective Data Augmentation with Multi-Domain Learning GANs AAAI 2020
SpeechMix — Augmenting Deep Sound Recognition Using Hidden Space Interpolations INTERSPEECH 2020
BUT-FIT at SemEval-2020 Task 4: Multilingual Commonsense COLING 2020
What Makes for Good Views for Contrastive Learning? NIPS 2020
KEIS@JUST at SemEval-2020 Task 12: Identifying Multilingual Offensive Tweets Using Weighted Ensemble and Fine-Tuned BERT COLING 2020
Unsupervised Data Augmentation for Consistency Training NIPS 2020
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation NIPS 2020
ColloQL: Robust Text-to-SQL Over Search Queries EMNLP 2020
Parallel Data Augmentation for Formality Style Transfer ACL 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics ACL 2020
GenAug: Data Augmentation for Finetuning Text Generators EMNLP 2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing NIPS 2020
Learning Loss for Test-Time Augmentation NIPS 2020
Implicit Discourse Relation Classification: We Need to Talk about Evaluation ACL 2020
A Group-Theoretic Framework for Data Augmentation NIPS 2020
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks NIPS 2020
Training Generative Adversarial Networks with Limited Data NIPS 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation NIPS 2020
Post-training Iterative Hierarchical Data Augmentation for Deep Networks NIPS 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation NIPS 2020