Toshihiko Yanase

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Toshihiko Yanase trusts overall

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

  1. James Bergstra
  2. Alex Krizhevsky
  3. Frank Hutter
  4. Wes McKinney
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Jasper Snoek
  8. Nikolaus Hansen

Who trusts Toshihiko Yanase overall

  1. Artur Meller

Papers from Toshihiko Yanase's perspective

Ordered by how strongly the researchers Toshihiko Yanase 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. Reading Digits in Natural Images with Unsupervised Feature Learning
  4. Learning Multiple Layers of Features from Tiny Images
  5. Practical Bayesian Optimization of Machine Learning Algorithms
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers