dls-2018 | Deep Learning JP - Part 5

Autoregressive Convolutional Neural Networks for Asynchronous Time Series(ICML 2018)

Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks

AVID:Adversarial Visual Irregularity Detection

Neural Arithmetic Logic Units (NALU)

AVID: Adversarial Visual Irregularity Detection

Neural Arithmetic Logic Units (NALU)

MeshとDeep Learning Surface Networks & AtlasNet

Z-Forcing: Training Stochastic Recurrent Networks (NIPS2017)

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping（GraspGAN）

“CyCADA: Cycle-Consistent Adversarial Domain Adaptation”&”Learning Semantic Representations for Unsupervised Domain Adaptation”

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