Xiaolei Yu

Artificial Intelligence · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaolei Yu trusts overall

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

  1. Mingsheng Long
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Zhangjie Cao

Papers from Xiaolei Yu's perspective

Ordered by how strongly the researchers Xiaolei Yu 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. Attention is All you Need (Neural Information Processing Systems)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers