Kaisiyuan Wang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kaisiyuan Wang trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Kaiming He
  4. Andrew Zisserman
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Yoshua Bengio
  9. Yann LeCun
  10. X. Zhang

Who trusts Kaisiyuan Wang overall

  1. Yudong Guo
  2. Ziyang Ma
  3. Haoning Zhu

Papers from Kaisiyuan Wang's perspective

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

Their papers