papers | Deep Learning JP - Part 78

Learning model-based planning from scratch

Imagination-Augmented Agents for Deep Reinforcement Learning

Train longer, generalize better: closing the generalization gap in large batch training of neural networks

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Attention Is All You Need

One Model To Learn Them All

Adversarial Feature Matching for Text Generation

StyleNet: Generating Attractive Visual Captions with Styles

Hybrid Reward Architecture for Reinforcement Learning

Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction

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