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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

Hotels-50K: A Global Hotel Recognition Dataset AAAI 2019
Multi-Stream Network with Temporal Attention for Environmental Sound Classification INTERSPEECH 2019
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation IJCNLP 2019
Handling Syntactic Divergence in Low-resource Machine Translation IJCNLP 2019
The BLCU System in the BEA 2019 Shared Task ACL 2019
Data Augmentation with Atomic Templates for Spoken Language Understanding EMNLP 2019
The DKU-LENOVO Systems for the INTERSPEECH 2019 Computational Paralinguistic Challenge INTERSPEECH 2019
Emad at SemEval-2019 Task 6: Offensive Language Identification using Traditional Machine Learning and Deep Learning approaches SEMEVAL 2019
Exploring the Landscape of Spatial Robustness ICML 2019
Using Attention Networks and Adversarial Augmentation for Styrian Dialect Continuous Sleepiness and Baby Sound Recognition INTERSPEECH 2019
Advances in Automatic Speech Recognition for Child Speech Using Factored Time Delay Neural Network INTERSPEECH 2019
The LeVoice Far-Field Speech Recognition System for VOiCES from a Distance Challenge 2019 INTERSPEECH 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks IJCNLP 2019
Why do deep convolutional networks generalize so poorly to small image transformations? JMLR 2019
Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning AAAI 2019
Quantifying Generalization in Reinforcement Learning ICML 2019
Abstract Text Summarization: A Low Resource Challenge IJCNLP 2019
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization IJCNLP 2019
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages IJCNLP 2019
Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues CVPR 2019
DSFD: Dual Shot Face Detector CVPR 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks IJCNLP 2019
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction IJCNLP 2019
Data Augmentation Using GANs for Speech Emotion Recognition INTERSPEECH 2019
UBC-NLP at SemEval-2019 Task 6: Ensemble Learning of Offensive Content With Enhanced Training Data SEMEVAL 2019