Yujin Chen

Computer Vision and Pattern Recognition · with Tu · 2022

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yujin Chen trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Sepp Hochreiter
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Jimmy Ba

Papers from Yujin Chen's perspective

Ordered by how strongly the researchers Yujin Chen 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers