Shutao Mei

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shutao Mei trusts overall

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

  1. Morten Nielsen
  2. Geoffrey E. Hinton
  3. Bjoern Peters
  4. Claus Lundegaard
  5. Kuo-Chen Chou
  6. Andrew L. Maas
  7. Karen Simonyan
  8. Sepp Hochreiter
  9. Vinod Nair
  10. Ilya Sutskever

Papers from Shutao Mei's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers