Shane T. Barratt

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 68 researchers and is trusted by 167 researchers here, as inferred from the citation graph.

Subfields

Whom Shane T. Barratt trusts overall

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

  1. Asen L. Dontchev
  2. Individualized Treat
  3. Yoshua Bengio
  4. Christian Szegedy
  5. Geoffrey E. Hinton
  6. Ilya Sutskever
  7. Brandon Amos
  8. Stephen P. Boyd
  9. Diederik P. Kingma
  10. Alex Krizhevsky

Who trusts Shane T. Barratt overall

  1. Chi Zhang
  2. Ting-Li Chen
  3. Yujun Cai
  4. Erik Nijkamp
  5. Kwonjoon Lee
  6. Ali Borji
  7. Chunhua Shen
  8. Krishna Kumar Singh
  9. Guosheng Lin
  10. Emiel Hoogeboom

Papers from Shane T. Barratt's perspective

Ordered by how strongly the researchers Shane T. Barratt trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers