Alice Robie

Computer Vision and Pattern Recognition · 2009–2015

A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Alice Robie trusts overall

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

  1. Jerome H. Friedman
  2. Eric R. Ziegel
  3. Matthew D. Zeiler
  4. Rob Fergus
  5. Jia Deng
  6. Naoki Abe
  7. Antonio Torralba
  8. Jeff Donahue
  9. Geoffrey E. Hinton
  10. Alex Krizhevsky

Who trusts Alice Robie overall

  1. David J. Anderson
  2. Florian Tramèr
  3. Sandeep R. Datta
  4. Nadia Burkart
  5. Thibault Laugel
  6. Yoshinori Aso
  7. U. Pandey
  8. John J. Dudley
  9. Mayank Kabra
  10. Kristin Branson

Papers from Alice Robie's perspective

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

Their papers