Kai Qin

Media Technology · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Qin trusts overall

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

  1. Maoguo Gong
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Lorenzo Bruzzone
  5. Sarath Chandar
  6. Pascal Vincent
  7. Yann LeCun
  8. Francesca Bovolo
  9. Gabriele Moser

Who trusts Kai Qin overall

  1. Rodrigo Caye Daudt
  2. Zhenwei Shi

Papers from Kai Qin's perspective

Ordered by how strongly the researchers Kai Qin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. A Fast Learning Algorithm for Deep Belief Nets
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Extracting and composing robust features with denoising autoencoders
  9. Greedy Layer-Wise Training of Deep Networks
  10. Learning Multiple Layers of Features from Tiny Images

Their papers