Motoki Sato
Artificial Intelligence · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #25,331 of 35,345 by trust here, #27,551 by citations
- Natural Language Processing — 12 citations into it; #4,198 of 5,688 by trust here, #4,879 by citations
- Safety, Robustness & Interpretability — 7 citations into it; #1,640 of 2,251 by trust here, #2,041 by citations
Whom Motoki Sato trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian J. Goodfellow
- Takeru Miyato
- Mark J van Rossum
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Rie Johnson
- Alex Krizhevsky
- Christian Szegedy
- Bo Pang
Who trusts Motoki Sato overall
Papers from Motoki Sato's perspective
Ordered by how strongly the researchers Motoki Sato trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Development of Wireless In-Wheel Motor Using Magnetic Resonance Coupling (2016) — 148 citations
- Interpretable Adversarial Perturbation in Input Embedding Space for Text (2018) — 208 citations