Nahyeon Ryu
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 101 citations into it
- Natural Language Processing — 57 citations into it
- Computer Vision and Pattern Recognition — 40 citations into it
- Reinforcement Learning — 18 citations into it
- Generative Models — 13 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Nahyeon Ryu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Ronald J. Williams
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Alex Krizhevsky
- Jimmy Ba
- Alex Graves
- Kaiming He
Papers from Nahyeon Ryu's perspective
Ordered by how strongly the researchers Nahyeon Ryu trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning