Feng Dai

Computer Vision and Pattern Recognition · Briefings Bioinform. · 2014–2017

A researcher in the Science corpus: 4 papers; trusts 48 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Feng Dai trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Christian Szegedy
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Sergey Ioffe
  8. Jia Deng
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Feng Dai overall

  1. Nicholas Carlini
  2. Chao-Kai Wen
  3. Christopher A. Metzler

Papers from Feng Dai's perspective

Ordered by how strongly the researchers Feng Dai 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers