awesome-of-time-series-augmentation
github.com/zzw-zwzhang/awesome-of-time-series-augmentation ↗A curated list of time series augmentation resources.
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arXiv
- Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation
2021.02.16
- SeismoGen: Seismic Waveform Synthesis UsingGenerative Adversarial Networks
2020.05.02
- Statistical analysis of Wasserstein GANswith applications to time seriesforecasting
2020.11.05
- Tabular GANs for Uneven Distribution
2020.08.10
Related Papers
- Adver-sarial Learning for Neural Dialogue GenerationLanguage-GAN
- A Minimax Game for Unifying Generative and Discriminative Information Retrieval ModelsLanguage-GAN
- A survey on Image Data Augmentation for Deep LearningVision-Augmentation
- AugGAN: Cross Domain Adaptation withGAN-based Data AugmentationVision-Translation
- Conditional Generative Adversarial NetsVision-GAN
- Connecting Generative Adversarial Networks and Actor-Critic MethodsLanguage-GAN
Awesome Surveys
2020
- Conditional GAN for timeseries generation
arXiv
- Data augmentation for time series: traditional vs generative models on capacitive proximity time series
PETRA
- End-to-End Differentiable GANs for Text Generation
- Evaluation of Conditional Recurrent Generative Adversarial Networks for Multivariate Time-Series Augmentation
Thesis
- Generation of Synthetic Financial Time-Series with Generative Adversarial Networks
Thesis
- Medical Time-Series Data Generation using GenerativeAdversarial Networks
Related Codebase
- DAGANVision
- Data Augmentation GAN in PyTorchVision
- Data Augmentation optimized for GAN (DAG) - Official implementationVision
Official implementation
- Data-Efficient GANs with DiffAugmentVision
- Generative Adversarial Nets for Synthetic Time Series DataTime-Series
- Generative-Adversarial-Networks-for-financial-time-series-generationTime-Series
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