Paul Honeine

Computer Vision and Pattern Recognition · 2009–2012

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Honeine trusts overall

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

  1. Bernhard Schölkopf
  2. Vladimir Naumovich Vapni
  3. C. Burges
  4. Alex Smola
  5. Manfred Opper
  6. Erkki Oja
  7. Ian T. Jolliffe
  8. Terence D. Sanger
  9. Yann LeCun
  10. John Shawe-Taylor

Who trusts Paul Honeine overall

  1. Bo Xie
  2. András A. Benczúr
  3. Steven C. H. Hoi
  4. Yingyu Liang
  5. Levente Kocsis
  6. Doyen Sahoo
  7. Le Song
  8. Róbert Pálovics
  9. Jing Lu
  10. Peilin Zhao

Papers from Paul Honeine's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  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