Masato Taki

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 103 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #7,633 of 21,575 by trust here, #19,766 by citations
• Artificial Intelligence — 11 citations into it; #11,263 of 35,345 by trust here, #31,361 by citations
• Model Architectures — 11 citations into it
• Optimization & Training — 8 citations into it

Whom Masato Taki trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Sergey Ioffe
4. Yoshua Bengio
5. Xavier Glorot
6. Christian Szegedy
7. Geoffrey E. Hinton
8. X. Zhang
9. Yann LeCun
10. Shaoqing Ren

Who trusts Masato Taki overall

1. Boris Hanin
2. Andreas Holzinger
3. David Rolnick
4. Soham De
5. Chris Biemann
6. Andrew Brock
7. Constantinos S. Pattichis
8. Samuel L. Smith
9. Stanislaw Jastrzebski
10. Douglas B. Kell

Papers from Masato Taki's perspective

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

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

Their papers

• Deep Residual Networks and Weight Initialization (2017) — 27 citations