Aaron E. Lefohn

Computer Vision and Pattern Recognition · 2003–2017

A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Aaron E. Lefohn trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. J. Urgen Schmidhuber
  5. Yann LeCun
  6. Paul J. Werbos
  7. Yoshua Bengio
  8. Joseph J Monaghan

Who trusts Aaron E. Lefohn overall

  1. Frank Losasso
  2. Ronald Fedkiw

Papers from Aaron E. Lefohn's perspective

Ordered by how strongly the researchers Aaron E. Lefohn 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers