Michelle A. Borkin

Computer Vision and Pattern Recognition · 2006–2016

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Michelle A. Borkin trusts overall

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

  1. Phillip Isola
  2. Antonio Torralba
  3. Timothy F. Brady
  4. Aude Oliva
  5. Bryan C. Russell
  6. Jeffrey Heer
  7. Jianxiong Xiao
  8. Talia Konkle

Who trusts Michelle A. Borkin overall

  1. P. Myers

Papers from Michelle A. Borkin's perspective

Ordered by how strongly the researchers Michelle A. Borkin 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. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers