Kaylee Burns

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 3 papers; trusts 262 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Kaylee Burns trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Christian Szegedy
  6. Matthew D. Zeiler
  7. Oriol Vinyals
  8. Yann LeCun
  9. Antonio Torralba
  10. Diederik P. Kingma

Who trusts Kaylee Burns overall

  1. Dana Pessach
  2. Angelina Wang
  3. Olga Russakovsky
  4. Ryan Steed
  5. Erez Shmueli
  6. Zhengyuan Yang
  7. Kaiyu Yang
  8. Ruixiang Tang
  9. Yusuke Hirota
  10. Vikram V. Ramaswamy

Papers from Kaylee Burns's perspective

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

Their papers