Noam Shental

Representation & Self-Supervised Learning · 2003–2020

A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Noam Shental trusts overall

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

  1. Judea Pearl
  2. Ralph Linsker
  3. Arthur P. Dempster
  4. Athinodoros S. Georghiades
  5. Kiri L. Wagstaff
  6. Peter N. Belhumeur
  7. R. Golden
  8. Donald B. Rubin
  9. Anthony J. Bell
  10. Nan M. Laird

Who trusts Noam Shental overall

  1. Marc G. Genton
  2. Jacob Goldberger
  3. Daoqiang Zhang
  4. Aharon Bar-Hillel
  5. Volodymyr Melnykov
  6. Sugato Basu
  7. Kilian Q. Weinberger
  8. Sam T. Roweis
  9. Yunhai Wang
  10. Francis R. Bach

Papers from Noam Shental's perspective

Ordered by how strongly the researchers Noam Shental 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. Gradient-based learning applied to document recognition
  4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers