Yan Song

Artificial Intelligence · with Wan · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 137 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Song trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Jimmy Ba
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Oriol Vinyals
  8. Richard Socher
  9. Kaiming He
  10. Andrew Zisserman

Papers from Yan Song's perspective

Ordered by how strongly the researchers Yan Song 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers