papers | Deep Learning JP - Part 89

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

Iterative Alternating Neural Attention for Machine Reading

Recurrent Neural Networks for Multivariate Time Series with Missing Values

Binarized Neural Networks: Training Neural Networks with Weights and Activations Constrained to +1 or =1

Leveraging Visual Question Answering for Image-Caption Ranking

XNOR-Net: ImageNet Classification Using Binary Convolution Neural Network

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

CONTINUOUS CONTROL WITH DEEP REINFORCEMENT LEARNING

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