Joohong Lee

Natural Language Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 20 citations into it
• Artificial Intelligence — 18 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Joohong Lee trusts overall

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

1. Diederik P. Kingma
2. Samuel R. Bowman
3. Rico Sennrich
4. Ilya Loshchilov
5. Jimmy Ba
6. Geoffrey E. Hinton
7. Jacob Devlin
8. Taku Kudo
9. Adina Williams
10. Yoshua Bengio

Papers from Joohong Lee's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Long Short-Term Memory
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Gradient-based learning applied to document recognition

Their papers

• An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks (2020) — 83 citations