Siwei Lai

Natural Language Processing · 2014–2015

A researcher in the Science corpus: 3 papers; trusts 46 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 55 citations into it; #1,986 of 5,688 by trust here, #1,939 by citations
• Artificial Intelligence — 45 citations into it; #9,994 of 35,345 by trust here, #7,606 by citations
• Representation & Self-Supervised Learning — 29 citations into it
• Large Language Models — 5 citations into it

Whom Siwei Lai trusts overall

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

1. Yoshua Bengio
2. Richard Socher
3. Ronan Collobert
4. Geoffrey E. Hinton
5. Tomas Mikolov
6. L. Eon Bottou
7. Andriy Mnih
8. T. Landauer
9. Christopher D. Manning
10. Ilya Sutskever

Who trusts Siwei Lai overall

1. Yangjun Zhang
2. Charu C. Aggarwal
3. Ammar Ismael Kadhim
4. Peng Zhou
5. Ye Zhang
6. Wei Xue
7. Zhuang Chen
8. Amr El-Desoky Mousa
9. Xiaolei Huang
10. Osman Semih Kayhan

Papers from Siwei Lai's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
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

• Recurrent Convolutional Neural Networks for Text Classification (2015) — 2,545 citations
• How to Generate a Good Word Embedding (2015) — 368 citations
• Relation Classification via Convolutional Deep Neural Network (2014) — 1,761 citations