Akiyuki Tanizawa

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 111 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Akiyuki Tanizawa trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. X. Zhang
  5. Yann LeCun
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Andrew Zisserman
  9. Ross B. Girshick
  10. Diederik P. Kingma

Papers from Akiyuki Tanizawa's perspective

Ordered by how strongly the researchers Akiyuki Tanizawa 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. ImageNet: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Learning Multiple Layers of Features from Tiny Images
  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