Koichi Kise

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 102 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Koichi Kise trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Christian Szegedy
  5. Xavier Gastaldi
  6. Ilya Sutskever
  7. X. Zhang
  8. Sergey Ioffe
  9. Ross B. Girshick
  10. Yann LeCun

Who trusts Koichi Kise overall

  1. Ekin Dogus Cubuk
  2. Yu Cheng
  3. Tommaso Furlanello
  4. Barret Zoph
  5. Quoc V. Le
  6. Boyi Li
  7. Ethan Harris
  8. Arild Nøkland
  9. Yoshihiro Yamada
  10. Martin Wistuba

Papers from Koichi Kise's perspective

Ordered by how strongly the researchers Koichi Kise 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. ImageNet: A large-scale hierarchical image database
  4. Learning Multiple Layers of Features from Tiny Images
  5. Going deeper with convolutions
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers