Gihyeon Choi

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Natural Language Processing — 12 citations into it
• Model Architectures — 5 citations into it

Whom Gihyeon Choi trusts overall

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

1. Yoon Kim
2. Steven Bird
3. Kyunghyun Cho
4. Xiaolei Huang
5. Thang Luong
6. Yoshua Bengio
7. Geoffrey E. Hinton
8. Mickel Hoang
9. Liang-Chih Yu
10. Zichao Yang

Papers from Gihyeon Choi's perspective

Ordered by how strongly the researchers Gihyeon Choi 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Improving Document-Level Sentiment Classification Using Importance of Sentences (2020) — 30 citations