Yong-Bin Kang
Natural Language Processing · 2021
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 — 35 citations into it
- Artificial Intelligence — 34 citations into it
- Evaluation & Benchmarks — 8 citations into it
Whom Yong-Bin Kang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yong-Bin Kang's perspective
Ordered by how strongly the researchers Yong-Bin Kang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
Their papers
- XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages (2021) — 534 citations