David K. B. Li

Computer Vision and Pattern Recognition · 2008–2017

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David K. B. Li trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Matthew D. Zeiler
  4. Yann LeCun
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Honglak Lee
  8. Vinod Nair

Papers from David K. B. Li's perspective

Ordered by how strongly the researchers David K. B. Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Learning Multiple Layers of Features from Tiny Images
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Rectified Linear Units Improve Restricted Boltzmann Machines
  6. A Fast Learning Algorithm for Deep Belief Nets
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. This PDF file includes: Materials and Methods
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers