Deep Architecture Genealogy
There are so many new models and architectures. If you find something interesting and worth paying attention to, please send us a pull requests (PR) and write issues.
README.md is automatically generated. Please send PRs on the Neural Net Arch Genealogy.txt file.
Mindmap Coggle Link
https://coggle.it/diagram/Wf5mYoJbsgABUF9P
Text Version
This is automatically generated. Please send a PR on the Neural Net Arch Genealogy.txt file.
- Reinforcement Learning Algorithms
- A3C, '16.02.06
- DARLA, '17.07.26
- ACTKR, '17.08.17
- c51, '17.10.27
- CNN
- AlexNet, '12.12
- VggNet, '14.09
- GoogLeNet, '14.09
- ResNet, '15.12
- DenseNet, '16.08
- SENet: Squeeze-and-Excitation Networks, '17.09
- Object Detection
- R-CNN
- Fast R-CNN
- Faster R-CNN
- Mask R-CNN
- YOLO
- SSD
- R-FCN
- Semantic Segmentation
- FCN
- DeconvNet
- DeepLab
- U-Net
- Super-resolution
- MemNet
- FSRCNN
- SRCNN
- VDSR
- DRCN
- LabSRN
- EDSR
- TTS
- Wavenet, '16.09.12
- Generative Models
- Autoregressive models
- MADE, '15.02.12
- PixelRNN, '16.01.25
- NADE, '16.05.07
- PixelCNN, '16.06.16
- PixelCNN++, '17.01.19
- Latent variable models
- VAE, '13.12.20
- CVAE, '14.06.20
- AAE, '15.11.18
- AVB, '17.01.17
- VQ-VAE, '17.11.2
- GAN, '14.06.10
- Variants
- CGAN, '14.11.06
- DCGAN, '15.11.19
- infoGAN, '16.06.12
- EBGAN, '16.09.11
- ACGAN, '16.10.30
- WGAN, '17.01.26
- BEGAN, '17.02.27
- WGAN-GP, '17.03.31
- TripleGAN, '17.03.07
- Applications
- Pix2Pix, '16.11.21
- PPGN, '16.11.30
- StackGAN, '16.12.10
- Variants
- VAE, '13.12.20
- Autoregressive models
- RNN
- LSTM, '97.11
- GRU, 14.11
- ACT: Adaptive Computation Time, '17.05
- S2S: RNN Encoder-Decoder, '14.06
- Attention: Jointly Learning to Align, '14.09
- Effective Approaches to Attention, Luong et al. '15.08
- DCN: Dynamic Coattention Networks, '16.08, DCN+, '17.08
- Transformer: Attention Is All You Need, '17.06
- Attention: Jointly Learning to Align, '14.09
- Capsule Net, '17.10
- Memory Networks
- Neural Programming
- Neural Turing Machine,'14.10
- Neural Random-Access Machines,'16.02
- Hierarchical Attentive Memory, '16.02
- Neural GPUs Learn Algorithms, '16.03
- Neural Programmer,'16.08
- Neural Module Networks, '16.06
- Hybrid Computing, '16.10
- Memory Networks,'14.10
- End-to-End Memory Network,'15.03
- DMN: Dynamic Memory Network, '16.03, DMN+, '16.04
- Neural Programming
Contributions
Your pull requests and issues are always welcome.