Takashi Shibata

Artificial Intelligence · with Ikami · 2021

A researcher in the Science corpus: 1 paper; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Takashi Shibata trusts overall

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

1. Kaiming He
2. Arun Mallya
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Pablo Speciale
7. Yann LeCun
8. Diederik P. Kingma
9. Ross B. Girshick
10. Svetlana Lazebnik

Who trusts Takashi Shibata overall

1. Liangzu Peng
2. Jingwen Ye
3. Paris V. Giampouras

Papers from Takashi Shibata's perspective

Ordered by how strongly the researchers Takashi Shibata 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning with Selective Forgetting (2021) — 82 citations