Naoki Morita

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Model Architectures — 10 citations into it

Whom Naoki Morita trusts overall

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

1. Diederik P. Kingma
2. Taco Cohen
3. Geoffrey E. Hinton
4. Vinod Nair
5. Max Welling
6. Seiichi Koshizuka
7. Christophe Geuzaine
8. Jimmy Ba
9. Johannes Klicpera
10. Alvaro Sanchez-Gonzalez

Who trusts Naoki Morita overall

1. Masanobu Horie

Papers from Naoki Morita's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Rectified Linear Units Improve Restricted Boltzmann Machines
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Isometric Transformation Invariant and Equivariant Graph Convolutional Networks (2020) — 25 citations
• Development of 3×3 DOF blocking structural elements to enhance the computational intensity of iterative linear solver (2016)