Yinhai Wang

Computer Vision and Pattern Recognition · with Chen · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yinhai Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yann LeCun
  4. Yoshua Bengio
  5. Sepp Hochreiter
  6. Diederik P. Kingma
  7. Kaiming He
  8. George A. Miller
  9. J. Urgen Schmidhuber
  10. Ilya Sutskever

Papers from Yinhai Wang's perspective

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

Their papers