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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

Sheffield Submissions for WMT18 Multimodal Translation Shared Task EMNLP 2018
Data Augmentation via Dependency Tree Morphing for Low-Resource Languages EMNLP 2018
Learning Compositional Visual Concepts With Mutual Consistency CVPR 2018
DocUNet: Document Image Unwarping via a Stacked U-Net CVPR 2018
Learning to Compose Domain-Specific Transformations for Data Augmentation NIPS 2017
Data Augmentation for Low-Resource Neural Machine Translation ACL 2017
Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting CVPR 2017
A Bayesian Data Augmentation Approach for Learning Deep Models NIPS 2017
Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data EMNLP 2017
3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation From Single Depth Images CVPR 2017
Procedural Generation of Videos to Train Deep Action Recognition Networks CVPR 2017
S3Pool: Pooling With Stochastic Spatial Sampling CVPR 2017
AGA: Attribute-Guided Augmentation CVPR 2017
Commonly Uncommon: Semantic Sparsity in Situation Recognition CVPR 2017
Multitask Learning for Mental Health Conditions with Limited Social Media Data EACL 2017
Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home INTERSPEECH 2017
Automatically augmenting an emotion dataset improves classification using audio EACL 2017
Text Rewriting Improves Semantic Role Labeling (Extended Abstract) IJCAI 2017
UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation SEMEVAL 2017
What's in a Question: Using Visual Questions as a Form of Supervision CVPR 2017
Deep Ordinal Regression Based on Data Relationship for Small Datasets IJCAI 2017
Learning Discrete Representations via Information Maximizing Self-Augmented Training ICML 2017
Synthesizing Training Data for Object Detection in Indoor Scenes RSS 2017
Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification IJCNLP 2017
Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels IJCNLP 2017