Tadashi Matsuo

2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Tadashi Matsuo trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Pierre Baldi
  4. Alireza Makhzani
  5. Yoshua Bengio
  6. L. Eon Bottou
  7. Kurt Hornik
  8. Brendan J. Frey
  9. Alex Krizhevsky
  10. Radford M. Neal

Who trusts Tadashi Matsuo overall

  1. Christina Heinze-Deml

Papers from Tadashi Matsuo's perspective

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

  1. Gradient-based learning applied to document recognition
  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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers