Dongyoung Go

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it
• Natural Language Processing — 35 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Reinforcement Learning — 18 citations into it
• Generative Models — 12 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Dongyoung Go trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Ronald J. Williams
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Yann LeCun
7. Alex Krizhevsky
8. Alex Graves
9. Jimmy Ba
10. Alec Radford

Who trusts Dongyoung Go overall

1. Yangsibo Huang
2. Rafael Rafailov

Papers from Dongyoung Go's perspective

Ordered by how strongly the researchers Dongyoung Go trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Aligning Language Models with Preferences through f-divergence Minimization (2023) — 126 citations