Wolfgang Lehrach

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wolfgang Lehrach trusts overall

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

  1. Karen Simonyan
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. David A. Sontag
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Elie Bursztein
  9. Andrew Zisserman
  10. Alan L. Yuille

Who trusts Wolfgang Lehrach overall

  1. Adam Kortylewski

Papers from Wolfgang Lehrach's perspective

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

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

Their papers