Fabien Lauer

Computer Vision and Pattern Recognition · 2007

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Fabien Lauer trusts overall

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

  1. Yann LeCun
  2. Vladimir Naumovich Vapni
  3. Isabelle M Guyon
  4. Patrice Y. Simard
  5. L. Eon Bottou
  6. Yoshua Bengio
  7. C. Burges
  8. Andre´ Elisseeff
  9. Shigeo Abe
  10. Bernhard Schölkopf

Who trusts Fabien Lauer overall

  1. Ruslan Salakhutdinov
  2. Geoffrey E. Hinton
  3. Yangqing Jia
  4. L. V. D. van der Maaten
  5. Yoshua Bengio

Papers from Fabien Lauer's perspective

Ordered by how strongly the researchers Fabien Lauer 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers