Jason Cramer

Signal Processing · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jason Cramer trusts overall

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

  1. Relja Arandjelovi'c
  2. Andrew Zisserman
  3. Diederik P. Kingma
  4. Karen Simonyan
  5. Justin Salamon
  6. Jort Florent Gemmeke
  7. Aren Jansen
  8. Yoshua Bengio
  9. Geoffrey E. Hinton
  10. Jimmy Ba

Who trusts Jason Cramer overall

  1. Dan Stowell
  2. Xavier Favory
  3. Eduardo Fonseca
  4. Aren Jansen
  5. Konstantinos Drossos

Papers from Jason Cramer's perspective

Ordered by how strongly the researchers Jason Cramer 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. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers