Peter K. Allen

Computer Vision and Pattern Recognition · 1994–2016

A researcher in the Science corpus: 9 papers; trusts 65 researchers and is trusted by 145 researchers here, as inferred from the citation graph.

Subfields

Whom Peter K. Allen trusts overall

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

  1. Andrew T. Miller
  2. Matei T. Ciocarlie
  3. Antonio Bicchi
  4. Corey Goldfeder
  5. Matthew A. Turk
  6. David G. Lowe
  7. Philip Shilane
  8. Yoshua Bengio
  9. Yann LeCun
  10. Diederik P. Kingma

Who trusts Peter K. Allen overall

  1. Sergey Levine
  2. Lerrel Pinto
  3. Jeffrey Mahler
  4. Lei Tai
  5. Andy Zeng
  6. Abhinav Kumar Gupta
  7. Vikash Kumar
  8. Jeannette Bohg
  9. Jonathan Weisz
  10. Mila Popovic

Papers from Peter K. Allen's perspective

Ordered by how strongly the researchers Peter K. Allen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. GENERATIVE ADVERSARIAL NETS
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers