Shawn Mei

Natural Language Processing · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shawn Mei trusts

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

  1. Rick Dale (in Natural Language Processing)
  2. Yoshua Bengio (in Artificial Intelligence)
  3. Diederik P. Kingma (in Artificial Intelligence)
  4. Jimmy Ba (in Artificial Intelligence)
  5. Kyunghyun Cho (in Artificial Intelligence)
  6. Dzmitry Bahdanau (in Artificial Intelligence)
  7. Yoon Kim (in Artificial Intelligence)
  8. Alexander M. Rush (in Artificial Intelligence)

Papers from Shawn Mei's perspective

Ordered by how strongly the researchers Shawn Mei 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Language Models are Unsupervised Multitask Learners
  4. Attention is All you Need (Neural Information Processing Systems)
  5. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  6. Long Short-Term Memory
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern 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