Atsuyoshi Nakamura

2009–2014

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Atsuyoshi Nakamura trusts overall

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

1. Lihong Li
2. Ruslan Salakhutdinov
3. Olivier Chapelle
4. Peter Auer
5. Yehuda Koren
6. Xiaoxue Zhao
7. Andriy Mnih
8. Nicolò Cesa-Bianchi
9. Vladimir Naumovich Vapnik
10. Robert M. Bell

Who trusts Atsuyoshi Nakamura overall

1. Qingyun Wu
2. Hongning Wang
3. Guanjie Zheng

Papers from Atsuyoshi Nakamura's perspective

Ordered by how strongly the researchers Atsuyoshi Nakamura 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
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

• A UCB-Like Strategy of Collaborative Filtering (2014) — 18 citations
• Convex sets as prototypes for classifying patterns (2009) — 17 citations