F. Jiang

Computer Vision and Pattern Recognition · with Wang · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom F. Jiang trusts overall

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

  1. Radford M. Neal
  2. Yann LeCun
  3. J. Dheeba
  4. Marcelo Fiszman
  5. L. Eon Bottou
  6. Yoshua Bengio

Who trusts F. Jiang overall

  1. Zeeshan Ahmed
  2. Pouyan Esmaeilzadeh
  3. Blake Murdoch

Papers from F. Jiang's perspective

Ordered by how strongly the researchers F. Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Pattern Recognition and Machine Learning
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers