Weizhong Li

Artificial Intelligence · with Bo · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weizhong Li trusts overall

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

  1. Geoffrey E. Hinton
  2. Paul J. Werbos
  3. Alex Graves
  4. Yoshua Bengio
  5. J. Urgen Schmidhuber
  6. Yann LeCun
  7. Alex Krizhevsky
  8. Ilya Sutskever

Papers from Weizhong Li's perspective

Ordered by how strongly the researchers Weizhong Li 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Going deeper with convolutions
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Attention is All you Need (Neural Information Processing Systems)
  9. A Fast Learning Algorithm for Deep Belief Nets
  10. Learning Multiple Layers of Features from Tiny Images

Their papers