Seongbo Jang

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 Seongbo Jang 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 Seongbo Jang's perspective

Ordered by how strongly the researchers Seongbo Jang 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
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. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

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