Shuntaro Sasai

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it
• Cognitive Neuroscience — 38 citations into it
• Reinforcement Learning — 35 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Model Architectures — 22 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Cellular and Molecular Neuroscience — 12 citations into it
• Neuroscience — 10 citations into it

Whom Shuntaro Sasai trusts overall

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

1. J. Urgen Schmidhuber
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Richard S. Sutton
5. Alex Graves
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Yann LeCun
9. Ilya Sutskever
10. Sepp Hochreiter

Papers from Shuntaro Sasai's perspective

Ordered by how strongly the researchers Shuntaro Sasai 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
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

• On the link between conscious function and general intelligence in humans and machines (2022) — 31 citations