OpenAI Request for Research - https://blog.openai.com/requests-for-research-2/
- Python 3
- Anaconda (Numpy, Matplotlib, PIL, etc)
- PyTorch
- GPU, CUDA
Tested on Ubuntu 16.04 with GeForce GTX 1080 Ti
- RenderGAN: Generating Realistic Labeled Data
- Dataset Augmentation in Feature Space
- Learning to Compose Domain-Specific Transformations
- Data Augmentation Generative Adversarial Networks
- Data Augmentation in Emotion Classification Using GANs
- Neural Augmentation and Cycle GAN
- Bayesian Data Augmentation Approach
- Learning To Model the Tail
- Tutorial on Variational Autoencoders
- Autoencoder: Encode --> Peturb/Interpolate --> Decode
- Synthetic Dataset Generation with CGAN
- Domain Adaption / Image-to-Image translation (CycleGAN)
- Augmentation / Preprocessing Net + backprop classification loss
- http://kvfrans.com/variational-autoencoders-explained/
- https://wiseodd.github.io/techblog/2016/12/10/variational-autoencoder/
- https://wiseodd.github.io/techblog/2016/12/17/conditional-vae/