Natan Liss

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Natan Liss trusts overall

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

  1. Alex Krizhevsky
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Yann LeCun
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Asit K. Mishra
  10. Karen Simonyan

Who trusts Natan Liss overall

  1. Alexandre D'efossez

Papers from Natan Liss's perspective

Ordered by how strongly the researchers Natan Liss 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers