Johann Hauswald

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Johann Hauswald trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. L. Eon Bottou
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Ronan Collobert
  9. Andrew Zisserman

Who trusts Johann Hauswald overall

  1. Young Geun Kim
  2. Carole-Jean Wu
  3. Zhuoran Zhao
  4. Zecheng He
  5. Yoshitomo Matsubara

Papers from Johann Hauswald's perspective

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

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

Their papers