Katherine Chou

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Katherine Chou trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Individualized Treat
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Andrew Zisserman
  8. Yoshua Bengio
  9. Jia Deng
  10. Ilya Sutskever

Papers from Katherine Chou's perspective

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

Their papers