Takashi Onoda

Artificial Intelligence · 2001

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 66 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #3,851 of 35,345 by trust here, #9,369 by citations

Whom Takashi Onoda trusts overall

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

1. Vladimir Naumovich Vapni
2. Leo Breiman

Who trusts Takashi Onoda overall

1. Gavin C. Cawley
2. Pannagadatta K. Shivaswamy
3. Masashi Sugiyama
4. Gilles Blanchard
5. Nicola L. C. Talbot
6. Elena Marchiori
7. Takafumi Kanamori
8. Taku Kudo
9. Sebastián Maldonado
10. Jakramate Bootkrajang

Papers from Takashi Onoda's perspective

Ordered by how strongly the researchers Takashi Onoda trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Going deeper with convolutions
7. Learning Multiple Layers of Features from Tiny Images
8. Gradient-based learning applied to document recognition
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Soft Margins for AdaBoost (2001) — 1,384 citations