Chen Shen

Computer Vision and Pattern Recognition · with Deng · 2017

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chen Shen trusts overall

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

  1. Geoffrey E. Hinton
  2. Andrew L. Maas
  3. Sergey Ioffe
  4. Rasmus Berg Palm
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Nitish Srivastava
  8. Christian Szegedy
  9. Matthew D. Zeiler
  10. Kaiming He

Papers from Chen Shen's perspective

Ordered by how strongly the researchers Chen Shen 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers