Myeonghwi Kim

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Natural Language Processing — 9 citations into it

Whom Myeonghwi Kim trusts overall

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

1. Yoon Kim
2. Nal Kalchbrenner
3. Aliaksei Severyn
4. Gang Liu
5. Jacob Devlin
6. Zhiheng Huang
7. Shiyao Wang

Papers from Myeonghwi Kim's perspective

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

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

Their papers

• Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism (2020) — 385 citations
• Q-Learning Algorithms: A Comprehensive Classification and Applications (2019) — 505 citations