Changsong Yu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Changsong Yu trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Sergey Ioffe
  4. Jimmy Ba
  5. Vinod Nair
  6. Yoshua Bengio
  7. Dzmitry Bahdanau
  8. Ruslan Salakhutdinov
  9. Alex Krizhevsky
  10. Nitish Srivastava

Who trusts Changsong Yu overall

  1. Weiyao Wang
  2. Logan Ford
  3. Danish Contractor
  4. Du Tran
  5. Hao Tang

Papers from Changsong Yu's perspective

Ordered by how strongly the researchers Changsong Yu 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers