Yuji Tokozume

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #13,682 of 35,345 by trust here, #19,873 by citations
• Computer Vision and Pattern Recognition — 16 citations into it; #8,920 of 21,575 by trust here, #13,269 by citations
• Model Architectures — 10 citations into it
• Optimization & Training — 8 citations into it

Whom Yuji Tokozume trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Sergey Ioffe
5. Ilya Sutskever
6. Kaiming He
7. Yoshua Bengio
8. Christian Szegedy
9. Xavier Gastaldi
10. Yann LeCun

Who trusts Yuji Tokozume overall

1. Vikas Verma
2. Prateek Katiyar
3. Agnieszka Mikołajczyk
4. Cecilia Summers
5. Da-Wei Zhou
6. Hongyu Guo
7. Amit Jindal
8. Mingle Xu
9. Wilhelm Tranheden
10. Ethan Harris

Papers from Yuji Tokozume's perspective

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

Their papers

• Between-Class Learning for Image Classification (2017) — 222 citations