Jonathan C. Tapson

Computer Vision and Pattern Recognition · 2014–2021

A researcher in the Science corpus: 5 papers; trusts 20 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan C. Tapson trusts overall

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

  1. G. Huang
  2. Teuvo Kohonen
  3. Patrick Grother
  4. Yann LeCun
  5. Alex Krizhevsky
  6. Garrick Orchard
  7. A. van Schaik
  8. Qin-Yu Zhu
  9. Nan-Ying Liang
  10. L. Eon Bottou

Who trusts Jonathan C. Tapson overall

  1. Gregory Cohen
  2. Peter Sorrenson
  3. Peter Kairouz
  4. Wenpeng Hu
  5. Tzu-Ming Harry Hsu
  6. Matthias Hein
  7. Krishna Pillutla
  8. Yutao Huang
  9. Nanqing Dong
  10. Jerry Ma

Papers from Jonathan C. Tapson's perspective

Ordered by how strongly the researchers Jonathan C. Tapson trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. Learning Multiple Layers of Features from Tiny Images
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Reading Digits in Natural Images with Unsupervised Feature Learning
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers