Yan Zhang

Computer Vision and Pattern Recognition · with Black · 2020

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Zhang trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Dimitrios Tzionas
  4. Christiane Zimmermann
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Ross B. Girshick
  8. Yoshua Bengio
  9. Yann LeCun
  10. X. Zhang

Papers from Yan Zhang's perspective

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

Their papers