Seungtaek Choi

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Model Architectures — 7 citations into it
• Natural Language Processing — 7 citations into it
• Information Retrieval & Search — 6 citations into it

Whom Seungtaek Choi trusts overall

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

1. Diederik P. Kingma
2. Andrew L. Maas
3. Yoshua Bengio
4. Kaiming He
5. Anette Hulth
6. Geoffrey E. Hinton
7. Ilya Sutskever
8. Razvan Pascanu
9. Jimmy Ba
10. Kyunghyun Cho

Papers from Seungtaek Choi's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Structure-Augmented Keyphrase Generation (2021) — 16 citations