Roy Ka-Wei Lee

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 5 papers; trusts 195 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Roy Ka-Wei Lee trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Oriol Vinyals
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Tomas Mikolov
  9. Kyunghyun Cho
  10. Alex Graves

Who trusts Roy Ka-Wei Lee overall

  1. Zhenwen Liang
  2. Helena Bonaldi

Papers from Roy Ka-Wei Lee's perspective

Ordered by how strongly the researchers Roy Ka-Wei 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers