Dong-Ho Lee

Artificial Intelligence · with Bansal · 2024

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

Subfields

• Artificial Intelligence — 29 citations into it
• Natural Language Processing — 15 citations into it

Whom Dong-Ho Lee trusts overall

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

1. Jing Xu
2. Jason Aaron Edward Weston

Papers from Dong-Ho Lee's perspective

Ordered by how strongly the researchers Dong-Ho Lee trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Evaluating Very Long-Term Conversational Memory of LLM Agents (2024) — 642 citations