Yu Gu

Artificial Intelligence · with Cheng · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Natural Language Processing — 22 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Yu Gu trusts overall

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

1. Diederik P. Kingma
2. Percy Liang
3. Geoffrey E. Hinton
4. Alec Radford
5. Tomas Mikolov
6. Yoshua Bengio
7. Jimmy Ba
8. Richard Socher
9. Alex Krizhevsky
10. Alex Wang

Who trusts Yu Gu overall

1. Michihiro Yasunaga
2. Katikapalli Subramanyam Kalyan
3. Sheng Zhang
4. Xiaoman Zhang
5. Xikun Zhang
6. Guangzhi Xiong
7. Weixiong Lin
8. Hoo-Chang Shin
9. Monica Agrawal
10. Fangyu Liu

Papers from Yu Gu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
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. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing (2020) — 2,598 citations