M. Feng

Artificial Intelligence · 2010–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Feng trusts overall

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

  1. R. Caruana
  2. Alex Krizhevsky
  3. M. Delgado
  4. Huan-Hsin Tseng
  5. Nima Tajbakhsh
  6. Ilya Sutskever
  7. Alexandru Niculescu-Mizil
  8. Geoffrey E. Hinton
  9. David Silver
  10. Eva Cernadas

Papers from M. Feng's perspective

Ordered by how strongly the researchers M. Feng 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. Mastering the game of Go with deep neural networks and tree search
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers