Matthew L. Miller

Computer Vision and Pattern Recognition · with LeCun · 2004

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 365 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew L. Miller trusts overall

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

  1. Yann LeCun
  2. Franccois Fleuret

Who trusts Matthew L. Miller overall

  1. Yann LeCun
  2. Clément Farabet
  3. Alexander Toshev
  4. Xiaogang Wang
  5. Huaizu Jiang
  6. Cha Zhang
  7. Massimiliano Patacchiola
  8. Sijin Li
  9. Andrew Zisserman
  10. Yi Sun

Papers from Matthew L. Miller's perspective

Ordered by how strongly the researchers Matthew L. Miller trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Backpropagation Applied to Handwritten Zip Code Recognition
  2. Multitask Learning
  3. Learning methods for generic object recognition with invariance to pose and lighting
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Neural network-based face detection
  6. Gradient-based learning applied to document recognition
  7. ImageNet classification with deep convolutional neural networks
  8. Long Short-Term Memory
  9. A Tutorial on Energy-Based Learning
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers