First, we show that a reparameterization of the variational lower bound yields a lower bound estimator that can be straightforwardly optimized using standard stochastic gradient methods. Diederik P Kingma, et al., "Auto-Encoding Variationa…

Our contributions is two-fold. Diederik P Kingma, et al., "Auto-Encoding Variational Bayes" https://arxiv.org/abs/1312.6114 通常の自己符号化器(Autoencoder)とは異なり、観測されたデータがある確率分布に基づいて生成されたと仮定する変分自己符号…

We introduce a stochastic variational inference and learning algorithm that scales to large datasets and, under some mild differentiability conditions, even works in the intractable case. Diederik P Kingma, et al., "Auto-Encoding Variation…

How can we perform efficient inference and learning in directed probabilistic models, in the presence of continuous latent variables with intractable posterior distributions, and large datasets? Diederik P Kingma, et al., "Auto-Encoding Va…

It is deployed commercially and reads several million cheques per day. Yann LeCun, et al., "Gradient-Based Learning Applied to Document Recognition" http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf 1998年にYann Lecunらが発表した畳み込み…

It uses Convolutional Neural Network character recognizers combined with global training techniques to provide record accuracy on business and personal cheques. Yann LeCun, et al., "Gradient-Based Learning Applied to Document Recognition" …

A Graph Transformer Network for reading a bank cheque is also described. Yann LeCun, et al., "Gradient-Based Learning Applied to Document Recognition" http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf 1998年にYann Lecunらが発表した畳み込…

Experiments demonstrate the advantage of global training, and the flexibility of Graph Transformer Networks. Yann LeCun, et al., "Gradient-Based Learning Applied to Document Recognition" http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf 1…

Two systems for online handwriting recognition are described. Yann LeCun, et al., "Gradient-Based Learning Applied to Document Recognition" http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf 1998年にYann Lecunらが発表した畳み込みニューラル…

A new learning paradigm, called Graph Transformer Networks (GTN), allows such multimodule systems to be trained globally using Gradient-Based methods so as to minimize an overall performance measure. Yann LeCun, et al., "Gradient-Based Lea…