Curtis Hawthorne

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 11 papers; trusts 278 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Curtis Hawthorne trusts overall

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

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

Who trusts Curtis Hawthorne overall

  1. Yu-Siang Huang
  2. Jesse Engel
  3. Yi-Hsuan Yang
  4. Jong Wook Kim
  5. Gautam Mittal
  6. Zalán Borsos
  7. Ian Simon
  8. Sean Vasquez
  9. Ziyu Wang
  10. Chris Donahue

Papers from Curtis Hawthorne's perspective

Ordered by how strongly the researchers Curtis Hawthorne 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers