Patrick Ng

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it; #24,074 of 35,345 by trust here, #12,387 by citations
• Natural Language Processing — 39 citations into it; #4,357 of 5,688 by trust here, #2,660 by citations
• Evaluation & Benchmarks — 11 citations into it

Whom Patrick Ng trusts overall

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

1. Shuohang Wang
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Jacob Devlin
5. Diederik P. Kingma
6. Christopher Clark
7. Ilya Sutskever
8. Alex Krizhevsky
9. Yann LeCun
10. Pranav Rajpurkar

Who trusts Patrick Ng overall

1. Jinhyuk Lee
2. Gautier Izacard
3. Omar Khattab
4. Tiancheng Zhao
5. Wissam Siblini
6. Yingqi Qu
7. Hannaneh Hajishirzi
8. Minjoon Seo
9. Akari Asai
10. Martin Fajcik

Papers from Patrick Ng's perspective

Ordered by how strongly the researchers Patrick Ng 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering (2019) — 265 citations
• Improving Factual Consistency of Abstractive Summarization via Question Answering (2021) — 103 citations