Toshihiko Yamasaki

Artificial Intelligence · with Michel · 2023

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Meta & Continual Learning — 15 citations into it
• Representation & Self-Supervised Learning — 15 citations into it

Whom Toshihiko Yamasaki trusts overall

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

1. Alex Krizhevsky
2. Rahaf Aljundi
3. Geoffrey E. Hinton
4. Kaiming He
5. Christian Szegedy
6. Yoshua Bengio
7. Yann LeCun
8. Diederik P. Kingma

Papers from Toshihiko Yamasaki's perspective

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

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

Their papers

• Improving Plasticity in Online Continual Learning via Collaborative Learning (2023) — 27 citations