papers | Deep Learning JP - Part 89

Learning Physical Intuition of Block Towers by Example

Instance-sensitive Fully Convolutional Networks

Deep generative image models using a Laplacian pyramid of adversarial networks

Recurrent Batch Normalization

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Neural Summarization by Extracting Sentences and Words

Mastering the game of Go with deep neural networks and tree search

End-to-End Training of Deep Visuomotor Policies

Diversity Networks

Deep reinforcement learning with double Q learning

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