Yi Zhang

Computer Vision and Pattern Recognition · with Li · 2019

A researcher in the Science corpus: 1 paper; trusts 136 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Zhang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Kaiming He
  5. Yann LeCun
  6. Yoshua Bengio
  7. Christian Szegedy
  8. Alex Graves
  9. Ilya Sutskever
  10. Ross B. Girshick

Papers from Yi Zhang's perspective

Ordered by how strongly the researchers Yi Zhang 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 Large Scale Visual Recognition Challenge
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Microsoft COCO: Common Objects in Context
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers