T. Chen

Computer Vision and Pattern Recognition · with Duvenaud · 2016–2019

A researcher in the Science corpus: 5 papers; trusts 311 researchers and is trusted by 368 researchers here, as inferred from the citation graph.

Subfields

Whom T. Chen trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. J. Urgen Schmidhuber
  6. Kaiming He
  7. Karen Simonyan
  8. Yann LeCun
  9. Danilo Jimenez Rezende
  10. Ilya Sutskever

Who trusts T. Chen overall

  1. Francesco Locatello
  2. Yang Song
  3. Ricky T. Q. Chen
  4. Xun Huang
  5. Arash Vahdat
  6. David Kristjanson Duvenaud
  7. Will Grathwohl
  8. Yoshua Bengio
  9. Emilien Dupont
  10. Fei Ye

Papers from T. Chen's perspective

Ordered by how strongly the researchers T. 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. 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. ImageNet Large Scale Visual Recognition Challenge

Their papers