Austin Stone

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 8 papers; trusts 398 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Austin Stone trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Yann LeCun
  5. Kaiming He
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. Jimmy Ba

Who trusts Austin Stone overall

  1. Tristan Sylvain
  2. Adam Kortylewski
  3. Linda Petrini
  4. Quanshi Zhang

Papers from Austin Stone's perspective

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

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

Their papers