Lei Shi

Artificial Intelligence · with Binder · 2019

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Shi trusts overall

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

  1. Geoffrey E. Hinton
  2. Ilya Sutskever
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Kaiming He
  6. Karen Simonyan
  7. Matthew D. Zeiler
  8. Yann LeCun
  9. Grgoire Montavon
  10. Diederik P. Kingma

Who trusts Lei Shi overall

  1. A. Ozbayoglu
  2. Omer Berat Sezer
  3. M. Ugur Gudelek

Papers from Lei Shi's perspective

Ordered by how strongly the researchers Lei Shi 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. 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. ImageNet Large Scale Visual Recognition Challenge

Their papers