Yuta Itoh

Statistics and Probability · 2011

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 16 citations into it; #12,640 of 12,932 by trust here, #10,275 by citations
• Artificial Intelligence — 13 citations into it
• Statistical Learning Theory — 10 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it; #20,977 of 21,575 by trust here, #19,766 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yuta Itoh trusts overall

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

1. Thomas Gärtner
2. Masashi Sugiyama
3. Arthur Gretton
4. Ingo Steinwart
5. R. Caruana
6. Peter J. Bickel
7. David Ruppert
8. Huaiyu Zhu
9. Alfred Müller
10. Fernando Perez-Cruz

Who trusts Yuta Itoh overall

1. Arthur Gretton

Papers from Yuta Itoh's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Multitask Learning
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. Learning Multiple Layers of Features from Tiny Images
6. Gradient-based learning applied to document recognition
7. On the Influence of the Kernel on the Consistency of Support Vector Machines
8. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• Least-squares two-sample test (2011) — 45 citations