Shuhei Watanabe

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computational Theory and Mathematics — 12 citations into it
• Neural Architecture Search & AutoML — 9 citations into it
• Optimization & Training — 9 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Shuhei Watanabe trusts overall

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

1. James Bergstra
2. Frank Hutter
3. Nikolaus Hansen
4. Aaron Klein
5. Yoshua Bengio
6. John A. Nelder
7. David Eriksson
8. Daniel L. K. Yamins
9. Stefan Falkner
10. Ryan D. Turner

Papers from Shuhei Watanabe's perspective

Ordered by how strongly the researchers Shuhei Watanabe 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. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Tree-structured Parzen estimator: Understanding its algorithm components and their roles for better empirical performance (2023) — 407 citations