Akira Naruse
Artificial Intelligence · 2018
A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #30,153 of 35,345 by trust here, #27,551 by citations
- Optimization & Training — 38 citations into it; #1,894 of 2,601 by trust here, #1,766 by citations
- Computer Vision and Pattern Recognition — 28 citations into it; #18,494 of 21,575 by trust here, #17,757 by citations
- Model Architectures — 6 citations into it; #1,905 of 2,278 by trust here, #2,037 by citations
- Statistical and Nonlinear Physics — 6 citations into it
Whom Akira Naruse trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James Martens
- Roger Baker Grosse
- Kaiming He
- Jimmy Ba
- Yoshua Bengio
- Geoffrey E. Hinton
- T. van Laarhoven
- Alex Krizhevsky
- Yann LeCun
- Shun-ichi Amari
Who trusts Akira Naruse overall
Papers from Akira Naruse's perspective
Ordered by how strongly the researchers Akira Naruse 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)