papers | Deep Learning JP - Part 87

Deep Networks with Stochastic Depth

Learning to Compose Neural Networks for Question Answering

Generative Adversarial Text to Image Synthesis

Towards a Biologically Plausible Backprop

Order-Embeddings of Images and Language

Deep Spatial Autoencoders for Visuomotor Learning

Asynchronous Methods for Deep Reinforcement Learning

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models

Distributional Smoothing with Virtual Adversarial Training

https://deeplearning.jp/wp-content/uploads/2016/06/dl_hacks2016-6-24-fukuta.pdf

Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection

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