Young-Jun Lee

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Natural Language Processing — 19 citations into it

Whom Young-Jun Lee trusts overall

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

1. Jason Aaron Edward Weston
2. Jacob Devlin
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Yinhan Liu
6. Diederik P. Kingma
7. Adina Williams
8. Ilya Sutskever
9. Alex Krizhevsky
10. Emily Dinan

Papers from Young-Jun Lee's perspective

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

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

Their papers

• PERSONACHATGEN: Generating Personalized Dialogues using GPT-3 (2022)