Edward Kim

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Edward Kim trusts overall

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

  1. Anna Bosch
  2. Jeff Donahue
  3. Jason Yosinski
  4. Yoshua Bengio
  5. Andrew Zisserman
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Li Deng
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Edward Kim overall

  1. Chaoyun Zhang
  2. Pegah Khosravi
  3. Geert J. S. Litjens
  4. Paul Patras
  5. Adnan Qayyum
  6. Ehsan Kazemi

Papers from Edward Kim's perspective

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

Their papers