Go Irie

Computer Vision and Pattern Recognition · 2010–2021

A researcher in the Science corpus: 4 papers; trusts 160 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Go Irie trusts overall

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

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

Who trusts Go Irie overall

  1. Liangzu Peng
  2. Jingwen Ye

Papers from Go Irie's perspective

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

Their papers