Lin Pan

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #34,393 of 35,345 by trust here, #24,417 by citations
• Natural Language Processing — 37 citations into it; #5,496 of 5,688 by trust here, #4,539 by citations
• Computer Vision and Pattern Recognition — 24 citations into it; #20,932 of 21,575 by trust here, #15,955 by citations

Whom Lin Pan trusts overall

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

1. Leslie N. Smith
2. Chris Alberti
3. Kenton C. T. Lee
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Michael R. Glass
7. Diederik P. Kingma
8. Jacob Devlin
9. Michael Collins
10. Ilya Sutskever

Who trusts Lin Pan overall

1. Dayiheng Liu

Papers from Lin Pan's perspective

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

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

Their papers

• Frustratingly Easy Natural Question Answering (2019) — 14 citations
• Span Selection Pre-training for Question Answering (2019) — 76 citations