Chin-Yew Lin
Artificial Intelligence · with Chen · 2012–2021
A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 46 citations into it
- Natural Language Processing — 36 citations into it
- Management Science and Operations Research — 12 citations into it
Whom Chin-Yew Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Jimmy Ba
- Jacob Devlin
- Yoshua Bengio
- Ilya Sutskever
- Sepp Hochreiter
- Tomas Mikolov
- Alex Krizhevsky
- Ming-Wei Chang
Who trusts Chin-Yew Lin overall
Papers from Chin-Yew Lin's perspective
Ordered by how strongly the researchers Chin-Yew Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering (2021) — 83 citations
- Improving Entity Linking by Modeling Latent Entity Type Information (2020) — 72 citations
- Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1 (2012) — 70 citations