Chan Young Park
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 77 citations into it
- Natural Language Processing — 52 citations into it
- Large Language Models — 20 citations into it
- Evaluation & Benchmarks — 14 citations into it
- Sociology and Political Science — 14 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Information Systems — 8 citations into it
Whom Chan Young Park trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Jacob Devlin
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- William Yang Wang
- Alec Radford
- Yann LeCun
- Kaiming He
Papers from Chan Young Park's perspective
Ordered by how strongly the researchers Chan Young Park 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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)