seminar | Deep Learning JP - Part 83

U-Net: Convolutional Networks for Biomedical Image Segmentation (MICCAI 2015)

Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation (NIPS 2016 Poster)

Bayesian Deep Learning

Learning What and Where to Draw (NIPS’16)

Dual Learning for Machine Translation

Value Iteration Networks

Image-to-Image Translation with Conditional Adversarial Networks

Continuous Deep Q-Learning with Model-based Acceleration

TREE-STRUCTURED VARIATIONAL AUTOENCODER

Learning Convolutional Neural Networks for Graphs

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