John Paul Strachan

Electrical and Electronic Engineering · 2010–2021

A researcher in the Science corpus: 20 papers; trusts 40 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom John Paul Strachan trusts overall

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

  1. Dmitri B. Strukov
  2. Fabien Alibart
  3. J. Joshua Yang
  4. Geoffrey E. Hinton
  5. Matthew D. Pickett
  6. G. Snider
  7. Ximeng Guan
  8. Ruslan Salakhutdinov
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts John Paul Strachan overall

  1. Suhas Kumar
  2. Shimeng Yu
  3. Mohammed Affan Zidan
  4. Linghao Song
  5. Daniele Ielmini
  6. Shahar Kvatinsky

Papers from John Paul Strachan's perspective

Ordered by how strongly the researchers John Paul Strachan 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. Long Short-Term Memory
  5. Going deeper with convolutions
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers