Ryohei Fujimaki

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #16,837 of 35,345 by trust here, #24,417 by citations
• Statistical Learning Theory — 7 citations into it

Whom Ryohei Fujimaki trusts overall

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

1. Niko Speybroeck
2. Tong Zhang
3. Stéphane Mallat
4. Geoffrey E. Hinton
5. Jerome H. Friedman
6. Jürgen Fritsch
7. Alex Krizhevsky
8. Vladimir Naumovich Vapni
9. Michael I. Jordan
10. Alex Smola

Who trusts Ryohei Fujimaki overall

1. Satoshi Hara
2. Nadia Burkart
3. Vinícius G. Costa
4. Tong Wang
5. Danqing Pan

Papers from Ryohei Fujimaki's perspective

Ordered by how strongly the researchers Ryohei Fujimaki 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. A Fast Learning Algorithm for Deep Belief Nets
5. The Nature of Statistical Learning Theory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Support-Vector Networks
10. Long Short-Term Memory

Their papers

• Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models (2015) — 49 citations
• Fully-Automatic Bayesian Piecewise Sparse Linear Models (2014) — 24 citations