Masaki Yasugi

Cognitive Neuroscience · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Masaki Yasugi trusts overall

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

  1. Karl J. Friston
  2. Nikolaus Kriegeskorte
  3. Geoffrey E. Hinton
  4. Rafal Bogacz
  5. S. Shipp

Who trusts Masaki Yasugi overall

  1. Michal Kosinski

Papers from Masaki Yasugi's perspective

Ordered by how strongly the researchers Masaki Yasugi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers