Katherine Crowson

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Katherine Crowson trusts overall

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

  1. Diederik P. Kingma
  2. Aäron van den Oord
  3. Geoffrey E. Hinton
  4. Jimmy Ba
  5. Oriol Vinyals
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Alec Radford
  10. Kaiming He

Who trusts Katherine Crowson overall

  1. Jonas Oppenlaender
  2. Tim Brooks
  3. Axel Sauer
  4. Jing Shi
  5. Narek Tumanyan
  6. Nasir Mohammad Khalid
  7. Hila Chefer
  8. Kai Zhang
  9. Beichen Zhang
  10. Yuval Alaluf

Papers from Katherine Crowson's perspective

Ordered by how strongly the researchers Katherine Crowson 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  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