Pai Liu

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #28,768 of 35,345 by trust here, #25,809 by citations
• Natural Language Processing — 18 citations into it
• Large Language Models — 12 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Pai Liu trusts overall

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

1. Alec Radford
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Jacob Devlin
6. Pranav Rajpurkar
7. Cunxiang Wang
8. Ilya Sutskever
9. Colin Raffel
10. Alex Krizhevsky

Who trusts Pai Liu overall

1. Tara Safavi

Papers from Pai Liu's perspective

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

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

Their papers

• Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA? (2021) — 95 citations