Jeremy M. Dawson

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jeremy M. Dawson trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. René Vidal
  5. Karen Simonyan
  6. Sergey Ioffe
  7. Yann LeCun
  8. Nitish Srivastava
  9. Ilya Sutskever
  10. Kaiming He

Papers from Jeremy M. Dawson's perspective

Ordered by how strongly the researchers Jeremy M. Dawson 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers