Kai Su

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it

Whom Kai Su trusts overall

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

1. Yuxiao Dong
2. Ziniu Hu
3. Geoffrey E. Hinton
4. Jacob Devlin
5. Yoshua Bengio

Papers from Kai Su's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Language Models are Unsupervised Multitask Learners
8. ImageNet: A large-scale hierarchical image database
9. Gradient-based learning applied to document recognition
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Models (2021) — 15 citations