Chenyang Tao

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 89 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chenyang Tao trusts overall

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

  1. Radford M. Neal
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Aapo Hyvärinen
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Kaiming He
  9. Ruslan Salakhutdinov
  10. Ilya Sutskever

Who trusts Chenyang Tao overall

  1. Junya Chen

Papers from Chenyang Tao's perspective

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

Their papers