Richard J. Chen

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 10 papers; trusts 387 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Richard J. Chen trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Yann LeCun
  7. Ilya Sutskever
  8. Karen Simonyan
  9. Ross B. Girshick
  10. Alex Graves

Who trusts Richard J. Chen overall

  1. Ming Y. Lu
  2. Adrien Ecoffet
  3. Artem Shmatko
  4. Penghao Wu
  5. Drew F. K. Williamson
  6. Michelle M. Li
  7. Sören Richard Stahlschmidt
  8. Faisal Mahmood
  9. P. Xu
  10. Guillaume Jaume

Papers from Richard J. Chen's perspective

Ordered by how strongly the researchers Richard J. Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers