Yu Bai

Artificial Intelligence · with Gao · 2022

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 — 20 citations into it
• Natural Language Processing — 15 citations into it

Whom Yu Bai trusts overall

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

1. Chin-Yew Lin
2. Abigail See
3. Ethan Perez
4. Ashish Vaswani
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Jingqing Zhang

Papers from Yu Bai's perspective

Ordered by how strongly the researchers Yu Bai 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. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Et al

Their papers

• PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization (2022) — 25 citations