John V. Arthur

Computer Vision and Pattern Recognition · 2011–2016

A researcher in the Science corpus: 8 papers; trusts 27 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom John V. Arthur trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Diederik P. Kingma
  6. Matthieu Courbariaux
  7. Ilya Sutskever
  8. Andrea Vedaldi
  9. Kaiming He
  10. Ruslan Salakhutdinov

Who trusts John V. Arthur overall

  1. Peter U. Diehl
  2. Shimeng Yu
  3. Michael Pfeiffer
  4. Sumit Bam Shrestha
  5. Garrick Orchard
  6. Bodo Rueckauer
  7. Steven K. Esser
  8. El Mahdi El Mhamdi
  9. Junhaeng Lee
  10. Shuangchen Li

Papers from John V. Arthur's perspective

Ordered by how strongly the researchers John V. Arthur 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. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. ImageNet: A large-scale hierarchical image database

Their papers