Sekitoshi Kanai

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Model Architectures — 12 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Natural Language Processing — 8 citations into it

Whom Sekitoshi Kanai trusts overall

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

1. Ilya Sutskever
2. Geoffrey E. Hinton
3. Alex Graves
4. Yoshua Bengio
5. Kaiming He
6. Alex Krizhevsky
7. Stephen Merity
8. John Scott Bridle
9. Oriol Vinyals
10. Radford M. Neal

Who trusts Sekitoshi Kanai overall

1. Dilin Wang
2. Chengyue Gong
3. Zihang Dai

Papers from Sekitoshi Kanai's perspective

Ordered by how strongly the researchers Sekitoshi Kanai 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Sigsoftmax: Reanalysis of the Softmax Bottleneck (2018) — 78 citations