Lizhen Tan

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lizhen Tan trusts

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

  1. Yoshua Bengio (in Artificial Intelligence)
  2. Percy Liang (in Natural Language Processing)
  3. Jason Aaron Edward Weston (in Artificial Intelligence)
  4. Kristina Toutanova (in Artificial Intelligence)
  5. Luke S. Zettlemoyer (in Natural Language Processing)
  6. Ilya Sutskever (in Artificial Intelligence)
  7. Danqi Chen (in Artificial Intelligence)
  8. Ming-Wei Chang (in Artificial Intelligence)
  9. Diederik P. Kingma (in Artificial Intelligence)
  10. Christopher D. Manning (in Natural Language Processing)

Papers from Lizhen Tan's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers