Walter Chang

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 200 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Walter Chang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Diederik P. Kingma
  7. Kaiming He
  8. Ruslan Salakhutdinov
  9. Yann LeCun
  10. Richard Socher

Who trusts Walter Chang overall

  1. Rahaf Aljundi
  2. Mohamed Elhoseiny

Papers from Walter Chang's perspective

Ordered by how strongly the researchers Walter Chang 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers