KaWai Chen

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom KaWai Chen trusts overall

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

  1. Min-Ling Zhang
  2. Luis von Ahn
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Ian J. Goodfellow
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Chih-Kuan Yeh
  9. Catherine Wah
  10. Yunchao Gong

Papers from KaWai Chen's perspective

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

Their papers