Jia Chen

Computer Vision and Pattern Recognition · with Chen · 2010–2019

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jia Chen trusts overall

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

  1. Diederik P. Kingma
  2. David G. Lowe
  3. Kaiming He
  4. Sepp Hochreiter
  5. Jimmy Ba
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Frederick Jelinek
  9. Kyunghyun Cho
  10. Alex Krizhevsky

Papers from Jia Chen's perspective

Ordered by how strongly the researchers Jia 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. Long Short-Term Memory
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Microsoft COCO: Common Objects in Context
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers