Bei Yu

Artificial Intelligence · with Cui · 2021

A researcher in the Science corpus: 1 paper; trusts 144 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bei Yu trusts overall

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

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

Papers from Bei Yu's perspective

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

Their papers