Woosuk Lee

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Software — 9 citations into it
• Code Generation & Program Synthesis — 8 citations into it
• Information Systems — 8 citations into it
• Natural Language Processing — 8 citations into it

Whom Woosuk Lee trusts overall

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

1. Sumit Gulwani
2. Miltiadis Allamanis
3. Sinno Jialin Pan
4. Veselin Raychev
5. Pavol Bielik
6. Susmit Jha
7. Charles Sutton
8. Qiang Yang
9. Aditya Krishna Menon
10. Matej Balog

Who trusts Woosuk Lee overall

1. Augustus Odena
2. Naman Jain
3. Yongchao Zhou
4. Kensen Shi
5. Rohan Bavishi

Papers from Woosuk Lee's perspective

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

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

Their papers

• Accelerating search-based program synthesis using learned probabilistic models (2018) — 126 citations