Yuichi Itoh

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuichi Itoh trusts overall

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

  1. Yoshua Bengio
  2. Leo Breiman
  3. M. de Choudhury

Papers from Yuichi Itoh's perspective

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

  1. Learning Deep Architectures for AI
  2. Latent Dirichlet Allocation
  3. ImageNet classification with deep convolutional neural networks
  4. Representation Learning: A Review and New Perspectives
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Random Forests
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers