Michael Chan

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Chan trusts overall

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

  1. Amir Zadeh
  2. Percy Liang
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Kaiming He
  8. Ilya Sutskever
  9. Yann LeCun
  10. Jacob Devlin

Who trusts Michael Chan overall

  1. Devshree Patel

Papers from Michael Chan's perspective

Ordered by how strongly the researchers Michael Chan 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers