← Learning Types
Deep Learning › Learning Types ›

Data Augmentation

434 directly classified papers

Papers per year

Papers

Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract) AAAI 2021
Computational Visual Ceramicology: Matching Image Outlines to Catalog Sketches AAAI 2021
LIREx: Augmenting Language Inference with Relevant Explanations AAAI 2021
Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation AAAI 2021
C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling AAAI 2021
MetaAugment: Sample-Aware Data Augmentation Policy Learning AAAI 2021
Data Augmentation for Graph Neural Networks AAAI 2021
Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm AAAI 2021
Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification EMNLP 2021
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints EMNLP 2021
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning EMNLP 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models EMNLP 2021
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data EMNLP 2021
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering EMNLP 2021
Simple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization EMNLP 2021
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering EMNLP 2021
Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing EMNLP 2021
HypMix: Hyperbolic Interpolative Data Augmentation EMNLP 2021
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation EMNLP 2021
“Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification? EMNLP 2021
How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks EMNLP 2021
Causal Augmentation for Causal Sentence Classification EMNLP 2021
Data Augmentation of Incorporating Real Error Patterns and Linguistic Knowledge for Grammatical Error Correction EMNLP 2021
Learning Data Augmentation Schedules for Natural Language Processing EMNLP 2021
[RETRACTED] DMix: Distance Constrained Interpolative Mixup EMNLP 2021