Yifeng Guo

Artificial Intelligence · 2018

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

Subfields

Whom Yifeng Guo trusts overall

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

  1. Alex Krizhevsky
  2. Sebastian Ruder
  3. Geoffrey E. Hinton
  4. Sergey Ioffe

Papers from Yifeng Guo's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. Deep Learning
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Mastering the game of Go without human knowledge
  9. Long Short-Term Memory
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers