Ann Lee

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 16 papers; trusts 379 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Ann Lee trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Graves
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Taku Kudo
  7. Alex Krizhevsky
  8. Dzmitry Bahdanau
  9. Oriol Vinyals
  10. Yann LeCun

Who trusts Ann Lee overall

  1. Wei-Ning Hsu
  2. Alexei Baevski
  3. Ye Jia
  4. Gabriel Synnaeve
  5. Qiantong Xu
  6. Changhan Wang
  7. Rongjie Huang
  8. Ronan Collobert
  9. Awni Y. Hannun
  10. Jacob Kahn

Papers from Ann Lee's perspective

Ordered by how strongly the researchers Ann Lee 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers