Tan Lee

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Tan Lee trusts overall

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

  1. Diederik P. Kingma
  2. Jimmy Ba
  3. Hongjie Chen
  4. Wei-Ning Hsu
  5. Zhizheng Wu
  6. Geoffrey E. Hinton
  7. Sakriani Watiasri Sakti
  8. Yoshua Bengio
  9. Alex Graves
  10. Daniel Povey

Who trusts Tan Lee overall

  1. Morgane Rivière
  2. Mingjie Chen
  3. David F. Harwath

Papers from Tan Lee's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. WaveNet: A Generative Model for Raw Audio
  10. ImageNet: A large-scale hierarchical image database

Their papers