Kazuki Kozuka

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Kazuki Kozuka trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Yoshua Bengio
  6. Paul Bergmann
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. Thomas Schlegl
  10. X. Zhang

Who trusts Kazuki Kozuka overall

  1. Lars Heckler
  2. Rebecca König
  3. Kilian Batzner

Papers from Kazuki Kozuka's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers