Yongjie Lin

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #21,453 of 35,345 by trust here, #15,542 by citations
• Natural Language Processing — 20 citations into it; #3,660 of 5,688 by trust here, #3,235 by citations
• Model Architectures — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yongjie Lin trusts overall

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

1. Michael Collins
2. Diederik P. Kingma
3. Jesse Vig
4. Jimmy Ba
5. R. Thomas McCoy
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Ilya Sutskever
9. Tal Linzen
10. Christopher D. Manning

Who trusts Yongjie Lin overall

1. Yada Pruksachatkun
2. Michael A. Lepori
3. R. Thomas McCoy
4. Thang M. Pham
5. Marta Ruiz Costa-jussà
6. Imanol Schlag
7. Jason Phang
8. Yanai Elazar
9. Phu Mon Htut
10. Haokun Liu

Papers from Yongjie Lin's perspective

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

Their papers

• Open Sesame: Getting inside BERT’s Linguistic Knowledge (2019) — 314 citations