Tarin Clanuwat

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 Tarin Clanuwat trusts overall

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

1. David R Ha
2. Charles M. Bishop
3. Kaiming He
4. J. Urgen Schmidhuber
5. Diederik P. Kingma
6. Han Xiao
7. Geoffrey E. Hinton
8. Yann LeCun
9. X. Zhang
10. Yoshua Bengio

Who trusts Tarin Clanuwat overall

1. Javier Antorán Cabiscol
2. Arild Nøkland
3. Timothée Lesort
4. Xingchao Peng
5. Noel Loo
6. Sairaam Venkatraman
7. Martin Mundt
8. Lazar Valkov
9. A. Yeung
10. Christopher Beckham

Papers from Tarin Clanuwat's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

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