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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
Generating Diverse Translation by Manipulating Multi-Head Attention
AAAI 2020
A Novel Model for Imbalanced Data Classification
AAAI 2020
Data Diversification: A Simple Strategy For Neural Machine Translation
NIPS 2020
Delexicalized Paraphrase Generation
COLING 2020
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
NIPS 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
NIPS 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
NIPS 2019
Learning Data Manipulation for Augmentation and Weighting
NIPS 2019
Image Synthesis with a Convolutional Capsule Generative Adversarial Network
MIDL 2019
Augmenting a German Morphological Database by Data-Intense Methods
ACL 2019
A Fourier Perspective on Model Robustness in Computer Vision
NIPS 2019
Learning From Synthetic Data for Crowd Counting in the Wild
CVPR 2019
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence
NIPS 2019
The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction
ACL 2019
Bag of Tricks for Image Classification with Convolutional Neural Networks
CVPR 2019
Data augmentation using back-translation for context-aware neural machine translation
EMNLP 2019
Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification
CVPR 2019
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
NIPS 2019
Learning to Generate Synthetic Data via Compositing
CVPR 2019
HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation
CVPR 2019
AutoAugment: Learning Augmentation Strategies From Data
CVPR 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
EMNLP 2019
AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation
IJCAI 2019
Formality Style Transfer for Noisy, User-generated Conversations: Extracting Labeled, Parallel Data from Unlabeled Corpora
EMNLP 2019
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation
EMNLP 2019
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