Yafei Shi

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Large Language Models — 7 citations into it

Whom Yafei Shi trusts overall

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

1. Alec Radford
2. Zhiyuan Chen

Papers from Yafei Shi's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Improving Language Understanding by Generative Pre-Training
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
9. SQuAD: 100,000+ Questions for Machine Comprehension of Text
10. Gradient-based learning applied to document recognition

Their papers

• A Robustly Optimized BERT Pre-training Approach with Post-training (2021) — 729 citations