papers | Deep Learning JP - Part 93

Convergent Learning: Do different neural networks learn the same representations?

CONTINUOUS CONTROL WITH DEEP REINFORCEMENT LEARNING

Generating Text with Deep Reinforcement Learning

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Action-Conditional Video Prediction using Deep Networks in Atari Games

Scalable Bayesian Optimization Using Deep Neural Networks

How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks

A Network-based End-to-End Trainable Task-oriented Dialogue System

Learning Physical Intuition of Block Towers by Example

Instance-sensitive Fully Convolutional Networks

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