Philip Chen

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Philip Chen trusts overall

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

  1. Geoffrey E. Hinton
  2. Muthu Dayalan
  3. J. Manyika
  4. Yoshua Bengio
  5. Borko Furht
  6. Deng Cai
  7. Haiping Lu
  8. Ron Bekkerman
  9. Yanjun Liu
  10. Naiyang Guan

Who trusts Philip Chen overall

  1. Deepak Arunachalam
  2. Amaryllis Mavragani
  3. Mehdi Gheisari
  4. Alexandra Amado
  5. Gang Wang
  6. Ahmed Oussous
  7. Fariza Hanum Binti Md Nasaruddin
  8. Patrick Mikalef
  9. Angappa Gunasekaran
  10. Niraj Kumar

Papers from Philip Chen's perspective

Ordered by how strongly the researchers Philip Chen 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers