Asanobu Kitamoto

2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Asanobu Kitamoto trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David R Ha
2. Charles M. Bishop
3. Kaiming He

Who trusts Asanobu Kitamoto overall

1. Javier Antorán Cabiscol

Papers from Asanobu Kitamoto's perspective

Ordered by how strongly the researchers Asanobu Kitamoto trusts endorse each paper. Same corpus, a different order for every researcher.

1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. Identity Mappings in Deep Residual Networks
6. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Image-to-Image Translation with Conditional Adversarial Networks
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep Learning for Classical Japanese Literature (2018) — 864 citations