Masashi Okada

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Reinforcement Learning — 14 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Masashi Okada trusts overall

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

1. Danijar Hafner
2. Geoffrey E. Hinton
3. Pieter Abbeel
4. Diederik P. Kingma
5. Sergey Levine
6. Alex Krizhevsky
7. Yoshua Bengio
8. Richard S. Sutton
9. Marc G. Bellemare
10. Jimmy Ba

Papers from Masashi Okada's perspective

Ordered by how strongly the researchers Masashi Okada 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction (2020) — 108 citations