Dong-hyun Ham
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it
- Natural Language Processing — 39 citations into it
- Large Language Models — 24 citations into it
Whom Dong-hyun Ham trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alec Radford
- Yoshua Bengio
- Paweł Budzianowski
- Jason Aaron Edward Weston
- Geoffrey E. Hinton
- Jimmy Ba
- Ilya Sutskever
- Jacob Devlin
- Rico Sennrich
Who trusts Dong-hyun Ham overall
- Maliheh Izadi
- David Thulke
- Ehsan Hosseini-Asl
- Junyi Li
- Jinjie Ni
- Prakhar Gupta
- Roberta Gismondi
- Nico Daheim
- Bryan McCann
- Tianyi Tang
Papers from Dong-hyun Ham's perspective
Ordered by how strongly the researchers Dong-hyun Ham trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)