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Data Augmentation

3622 directly classified papers

Papers per year

Papers

A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question Understanding ACL 2021
Towards Table-to-Text Generation with Numerical Reasoning ACL 2021
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? ACL 2021
AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation ACL 2021
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis ACL 2021
Counterfactual Data Augmentation for Neural Machine Translation NAACL 2021
Generalization in Instruction Following Systems NAACL 2021
Target-Aware Data Augmentation for Stance Detection NAACL 2021
Controllable Text Simplification with Explicit Paraphrasing NAACL 2021
Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training NAACL 2021
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning NAACL 2021
Comparison of Grammatical Error Correction Using Back-Translation Models NAACL 2021
Crowdsourcing Natural Language Data at Scale: A Hands-On Tutorial NAACL 2021
Toward Creation of Ancash Lexical Resources from OCR NAACL 2021
Data Cleaning Tools for Token Classification Tasks NAACL 2021
Joint Summarization-Entailment Optimization for Consumer Health Question Understanding NAACL 2021
Multi-Attentional Deepfake Detection CVPR 2021
Rainbow Memory: Continual Learning With a Memory of Diverse Samples CVPR 2021
Rank-One Prior: Toward Real-Time Scene Recovery CVPR 2021
SuperMix: Supervising the Mixing Data Augmentation CVPR 2021
ArtCoder: An End-to-End Method for Generating Scanning-Robust Stylized QR Codes CVPR 2021
Improving Generalization in Meta-learning via Task Augmentation ICML 2021
Improving Unsupervised Image Clustering With Robust Learning CVPR 2021
PointAugmenting: Cross-Modal Augmentation for 3D Object Detection CVPR 2021
Scale-Aware Automatic Augmentation for Object Detection CVPR 2021