Kiwako Sakamoto

Cognitive Neuroscience · 2018

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 14 citations into it; #10,483 of 10,852 by trust here, #9,453 by citations
• Computer Vision and Pattern Recognition — 14 citations into it; #21,055 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 12 citations into it

Whom Kiwako Sakamoto trusts overall

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

1. Karl J. Friston
2. Nikolaus Kriegeskorte
3. Geoffrey E. Hinton
4. Rafal Bogacz
5. S. Shipp
6. J. Urgen Schmidhuber
7. Nitish Srivastava
8. Ruben Villegas
9. Yann LeCun
10. Kaiming He

Who trusts Kiwako Sakamoto overall

1. Michal Kosinski

Papers from Kiwako Sakamoto's perspective

Ordered by how strongly the researchers Kiwako Sakamoto 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. ImageNet: A large-scale hierarchical image database
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Illusory Motion Reproduced by Deep Neural Networks Trained for Prediction (2018) — 114 citations