Bong-Jun Yi

Natural Language Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 21 citations into it
• Artificial Intelligence — 20 citations into it

Whom Bong-Jun Yi trusts overall

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

1. Chin-Yew Lin
2. Mirella Lapata

Papers from Bong-Jun Yi's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Language Models are Unsupervised Multitask Learners
8. Improving Language Understanding by Generative Pre-Training
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

• Learning by Semantic Similarity Makes Abstractive Summarization Better (2020) — 18 citations