Ke Yuan
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it; #31,153 of 35,345 by trust here, #30,347 by citations
- Natural Language Processing — 10 citations into it; #5,053 of 5,688 by trust here, #5,214 by citations
Whom Ke Yuan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Derek Miller
- Dzmitry Bahdanau
- Yoshua Bengio
- Jacob Devlin
- Ashish Vaswani
- Abigail See
- Geoffrey E. Hinton
- Kyunghyun Cho
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Ke Yuan overall
Papers from Ke Yuan's perspective
Ordered by how strongly the researchers Ke Yuan trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- MathBERT: A Pre-Trained Model for Mathematical Formula Understanding (2021) — 132 citations