Data Augmentation
3,648 papers
Papers per year
2
1
2
1
3
3
10
8
7
35
46
117
227
331
440
520
602
609
562
122
'15
'20
'25
Papers
Sequence-Level Mixed Sample Data Augmentation
EMNLP 2020
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
ICML 2020
Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging
EMNLP 2020
Simulated multiple reference training improves low-resource machine translation
EMNLP 2020
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
ACL 2020
SpecSwap: A Simple Data Augmentation Method for End-to-End Speech Recognition
Interspeech 2020
SpeechMix — Augmenting Deep Sound Recognition Using Hidden Space Interpolations
Interspeech 2020
SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation
AAAI 2020
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
EMNLP 2020
State Sequence Pooling Training of Acoustic Models for Keyword Spotting
Interspeech 2020
Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines
ACL 2020
Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer
IJCAI 2020
StoRIR: Stochastic Room Impulse Response Generation for Audio Data Augmentation
Interspeech 2020
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition
Interspeech 2020
Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms
Interspeech 2020
Synbols: Probing Learning Algorithms with Synthetic Datasets
NeurIPS 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
ACL 2020
Synthetic Examples Improve Generalization for Rare Classes
WACV 2020
Task-Oriented Dialog Systems That Consider Multiple Appropriate Responses under the Same Context
AAAI 2020
Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles
SemEval 2020
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
EMNLP 2020
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP
EMNLP 2020
Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer’s Disease Detection
COLING 2020
Textual Data Augmentation for Efficient Active Learning on Tiny Datasets
EMNLP 2020
The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation
CVPR 2020