Chris Paxton

Computer Vision and Pattern Recognition · 2013–2022

A researcher in the Science corpus: 11 papers; trusts 423 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Chris Paxton trusts overall

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

  1. Diederik P. Kingma
  2. Sergey Levine
  3. Chelsea Finn
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Yann LeCun
  9. Sepp Hochreiter
  10. Ilya Sutskever

Who trusts Chris Paxton overall

  1. Mohit Shridhar
  2. Kirill Dyagilev
  3. Chaochao Lu
  4. Suchi Saria
  5. Katharine Henry
  6. Dieter Fox
  7. Danny Driess
  8. Lucas Manuelli
  9. Pratyusha Sharma
  10. Jesse Thomason

Papers from Chris Paxton's perspective

Ordered by how strongly the researchers Chris Paxton 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. GENERATIVE ADVERSARIAL NETS

Their papers