Naoto Mitsume

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; 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 Naoto Mitsume trusts overall

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

1. Diederik P. Kingma
2. Taco Cohen

Papers from Naoto Mitsume's perspective

Ordered by how strongly the researchers Naoto Mitsume 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. Rectified Linear Units Improve Restricted Boltzmann Machines
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. The Graph Neural Network Model
5. ImageNet classification with deep convolutional neural networks
6. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
7. Group Equivariant Convolutional Networks
8. PyTorch: An Imperative Style, High-Performance Deep Learning Library
9. Attention is All you Need (Neural Information Processing Systems)
10. Relational inductive biases, deep learning, and graph networks

Their papers

• Isometric Transformation Invariant and Equivariant Graph Convolutional Networks (2020) — 25 citations