Daichi Shigemizu

Scientific Reports · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Daichi Shigemizu trusts overall

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

  1. Tin Kam Ho
  2. Geoffrey E. Hinton

Papers from Daichi Shigemizu's perspective

Ordered by how strongly the researchers Daichi Shigemizu 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. Nonlinear Component Analysis as a Kernel Eigenvalue Problem
  5. Stochastic Neighbor Embedding
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers