Amy Sue Fire

Artificial Intelligence · 2013

A researcher in the Science corpus: 2 papers; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amy Sue Fire trusts overall

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

  1. Song-Chun Zhu
  2. Jerome H. Friedman
  3. Mingtao Pei
  4. Patricia W. Cheng
  5. T. Griffiths
  6. Matthew Richardson
  7. Svetlana Lazebnik
  8. Susan Carey
  9. Peter Spirtes
  10. Yunde Jia

Who trusts Amy Sue Fire overall

  1. Yixin Zhu
  2. David Lopez-Paz
  3. Karel Lebeda
  4. Song-Chun Zhu
  5. Kewei Tu
  6. He Wang
  7. Tao Gao
  8. Robert Nishihara
  9. Simon Hadfield
  10. Krzysztof Chalupka

Papers from Amy Sue Fire's perspective

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

Their papers