Robert S. Keynton

Computer Vision and Pattern Recognition · 2004–2019

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Robert S. Keynton trusts overall

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

  1. Matthew D. Zeiler
  2. Heung-Il Suk
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Alireza Makhzani
  6. Dinggang Shen
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Ian J. Goodfellow
  10. Tianqi Chen

Who trusts Robert S. Keynton overall

  1. Jyoti Islam
  2. Manhua Liu

Papers from Robert S. Keynton's perspective

Ordered by how strongly the researchers Robert S. Keynton trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern 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. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers