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Neural Net Arch Genealogy (CNN (Object Detection (R-CNN, Fast R-CNN,…
Neural Net Arch Genealogy
CNN
AlexNet, '12.12
ResNet, '15.12
DenseNet, '16.08
VggNet, '14.09
GoogLeNet, '14.09
Object Detection
R-CNN
Fast R-CNN
Faster R-CNN
Mask R-CNN
YOLO
SSD
R-FCN
Super-resolution
SRCNN
VDSR
DRCN
FSRCNN
LabSRN
EDSR
MemNet
Semantic Segmentation
FCN
DeconvNet
DeepLab
U-Net
SENet: Squeeze-and-Excitation Networks, '17.09
TTS
Wavenet, '16.09.12
RNN
LSTM, '97.11
GRU, 14.11
S2S: RNN Encoder-Decoder, '14.06
Attention: Jointly Learning to Align, '14.09
DCN: Dynamic Coattention Networks, '16.08
,
DCN+, '17.08
Effective Approaches to Attention, Luong et al. '15.08
Transformer: Attention Is All You Need, '17.06
ACT: Adaptive Computation Time, '17.05
Capsule Net, '17.10
Memory Networks
Memory Networks,'14.10
DMN: Dynamic Memory Network, '16.03
,
DMN+, '16.04
End-to-End Memory Network,'15.03
Neural Programming
Neural Programmer,'16.08
Neural Turing Machine,'14.10
Hybrid Computing, '16.10
Neural Random-Access Machines,'16.02
Neural GPUs Learn Algorithms, '16.03
Hierarchical Attentive Memory, '16.02
Neural Module Networks, '16.06
Generative Models
Autoregressive models
PixelRNN, '16.01.25
NADE, '16.05.07
MADE, '15.02.12
PixelCNN++, '17.01.19
PixelCNN, '16.06.16
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
WGAN, '17.01.26
WGAN-GP, '17.03.31
infoGAN, '16.06.12
ACGAN, '16.10.30
EBGAN, '16.09.11
BEGAN, '17.02.27
DCGAN, '15.11.19
CGAN, '14.11.06
TripleGAN, '17.03.07
Applications
Pix2Pix, '16.11.21
StackGAN, '16.12.10
PPGN, '16.11.30
Reinforcement Learning Algorithms
A3C, '16.02.06
DARLA, '17.07.26
ACTKR, '17.08.17
c51, '17.10.27