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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

Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data CVPR 2020
Learning Augmentation Network via Influence Functions CVPR 2020
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification ACL 2020
NAT: Noise-Aware Training for Robust Neural Sequence Labeling ACL 2020
Multi-Stream Attention-Based BLSTM with Feature Segmentation for Speech Emotion Recognition INTERSPEECH 2020
MatchboxNet: 1D Time-Channel Separable Convolutional Neural Network Architecture for Speech Commands Recognition INTERSPEECH 2020
Rethinking Pre-training and Self-training NIPS 2020
Synthetic Examples Improve Generalization for Rare Classes WACV 2020
Semi-Supervised Learning with Data Augmentation for End-to-End ASR INTERSPEECH 2020
Augmenting Generative Adversarial Networks for Speech Emotion Recognition INTERSPEECH 2020
Distribution Augmentation for Generative Modeling ICML 2020
A Complete Shift-Reduce Chinese Discourse Parser with Robust Dynamic Oracle ACL 2020
Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking ACL 2020
A Simple Framework for Contrastive Learning of Visual Representations ICML 2020
ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition INTERSPEECH 2020
Diversifying Dialogue Generation with Non-Conversational Text ACL 2020
Meta Variance Transfer: Learning to Augment from the Others ICML 2020
High-contrast “gaudy” images improve the training of deep neural network models of visual cortex NIPS 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence NIPS 2020
Improved Guided Source Separation Integrated with a Strong Back-End for the CHiME-6 Dinner Party Scenario INTERSPEECH 2020
On Leveraging Pretrained GANs for Generation with Limited Data ICML 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation ICML 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation UAI 2020
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification AAAI 2020
Are you Wearing a Mask? Improving Mask Detection from Speech Using Augmentation by Cycle-Consistent GANs INTERSPEECH 2020