Ikko Yamane

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #28,473 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Ikko Yamane trusts overall

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

1. Theodoros Evgeniou
2. Dorin Comaniciu
3. Massimiliano Pontil
4. Keinosuke Fukunaga
5. Gunnar Rätsch
6. Charles A. Micchelli
7. Hiroaki Sasaki
8. James Bergstra
9. Jonathan Baxter
10. R. Caruana

Who trusts Ikko Yamane overall

1. Yu Zhang
2. Qiang Yang

Papers from Ikko Yamane's perspective

Ordered by how strongly the researchers Ikko Yamane 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. Multitask Learning
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation (2014) — 8 citations