Lawrence Pang

Information Systems · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 30 citations into it; #7,740 of 8,771 by trust here, #5,501 by citations
• Artificial Intelligence — 16 citations into it
• Natural Language Processing — 15 citations into it

Whom Lawrence Pang trusts overall

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

1. Miltiadis Allamanis
2. Yoshua Bengio
3. Tao Ge
4. Geoffrey E. Hinton
5. Martin White
6. Claire Le Goues
7. Lili Mou
8. James Bergstra
9. Ilya Sutskever
10. Diederik P. Kingma

Who trusts Lawrence Pang overall

1. Chun Xia

Papers from Lawrence Pang's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• CoCoNuT: combining context-aware neural translation models using ensemble for program repair (2020) — 436 citations