Nan Song

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 67 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Nan Song trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Chi Zhang
  5. Yoshua Bengio
  6. Oriol Vinyals
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts Nan Song overall

  1. Da-Wei Zhou
  2. Jaya Kalla
  3. Han-Jia Ye
  4. Keon-Hee Park
  5. Mert Kilickaya
  6. Yujin Tang
  7. Zhixiang Chi
  8. Huan Liu

Papers from Nan Song's perspective

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

Their papers