Lehel Csató

Statistical Learning Theory · 2002

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 87 researchers here, as inferred from the citation graph.

Subfields

Whom Lehel Csató trusts overall

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

  1. Christopher K. I. Williams
  2. Vladimir Naumovich Vapni
  3. Bernhard Schölkopf
  4. L. Eon Bottou
  5. Alex Smola
  6. Sam T. Roweis
  7. Volker Tresp
  8. Tomaso A. Poggio
  9. Tom Minka
  10. Manfred Opper

Who trusts Lehel Csató overall

  1. Matthias W. Seeger
  2. Michalis K. Titsias
  3. Neil D. Lawrence
  4. Thang D. Bui
  5. Zoubin Ghahramani
  6. Edward Snelson
  7. Carl E. Rasmussen
  8. Alexander G. de G. Matthews
  9. Joaquin Quiñonero Candela
  10. Richard E. Turner

Papers from Lehel Csató's perspective

Ordered by how strongly the researchers Lehel Csató 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers