Yin Zhang

Computer Vision and Pattern Recognition · with Chen · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yin Zhang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Jiafu Wan
  4. Min Chen
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Pascal Vincent
  8. Hugo Larochelle
  9. Kaiming He
  10. Ilya Sutskever

Who trusts Yin Zhang overall

  1. Min Chen
  2. Arthur Gatouillat

Papers from Yin Zhang's perspective

Ordered by how strongly the researchers Yin 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. Gradient-based learning applied to document recognition
  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. 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