Yi Fang

Artificial Intelligence · with Chaidaroon · 2017

A researcher in the Science corpus: 1 paper; trusts 103 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Fang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Ruslan Salakhutdinov
  4. Yoshua Bengio
  5. Hugo Larochelle
  6. Alex Krizhevsky
  7. Wei David Liu
  8. Jun Wang
  9. Danilo Jimenez Rezende
  10. Max Welling

Who trusts Yi Fang overall

  1. Dinghan Shen

Papers from Yi Fang's perspective

Ordered by how strongly the researchers Yi Fang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers