Yang Song

Computer Vision and Pattern Recognition · with Zhao · 2022

A researcher in the Science corpus: 1 paper; trusts 91 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Song trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Shaoqing Ren
  7. Yoshua Bengio
  8. Sergey Ioffe
  9. Christian Szegedy
  10. Yann LeCun

Papers from Yang Song's perspective

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

Their papers