Tiffany Y. Chen

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 8 papers; trusts 72 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Tiffany Y. Chen trusts overall

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

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

Who trusts Tiffany Y. Chen overall

  1. Richard J. Chen
  2. Artem Shmatko
  3. Ming Y. Lu

Papers from Tiffany Y. Chen's perspective

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

Their papers