David Klein

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David Klein trusts overall

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

  1. Battista Biggio
  2. David G. Lowe
  3. Karen Simonyan
  4. Jessica J. Fridrich
  5. Christian Szegedy
  6. Nicholas Carlini
  7. Ilya Sutskever
  8. Stephen P. Boyd
  9. Alex Krizhevsky
  10. Geoffrey E. Hinton

Papers from David Klein's perspective

Ordered by how strongly the researchers David Klein 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. ImageNet Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers