Cheolhyoung Lee
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #15,433 of 35,345 by trust here, #17,412 by citations
- Natural Language Processing — 13 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Optimization & Training — 6 citations into it
- Model Architectures — 5 citations into it
Whom Cheolhyoung Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Jimmy Ba
- Vinod Nair
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Jacob Devlin
- Ronan Collobert
- Ilya Sutskever
Who trusts Cheolhyoung Lee overall
- Q. Liao
- Tianyu Gao
- Katikapalli Subramanyam Kalyan
- Marius Mosbach
- Sinong Wang
- Tianyi Zhang
- Jianze Liang
- Zihao Fu
- Tongtong Wu
- Sanyuan Chen
Papers from Cheolhyoung Lee's perspective
Ordered by how strongly the researchers Cheolhyoung Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models (2019) — 239 citations