Hiroshi G. Okuno

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Signal Processing — 9 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Natural Language Processing — 7 citations into it

Whom Hiroshi G. Okuno trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yann LeCun
4. Yoshua Bengio
5. Ilya Sutskever
6. Honglak Lee
7. Pascal Vincent
8. George E. Dahl
9. L. Eon Bottou
10. Diederik P. Kingma

Papers from Hiroshi G. Okuno's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Audio-visual speech recognition using deep learning (2014) — 551 citations