Taeuk Kim

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it
• Natural Language Processing — 40 citations into it
• Model Architectures — 9 citations into it

Whom Taeuk Kim trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Daniel Klein
4. Yoshua Bengio
5. Jimmy Ba
6. Sepp Hochreiter
7. Ilya Sutskever
8. Christopher D. Manning
9. Alec Radford
10. Alex Krizhevsky

Who trusts Taeuk Kim overall

1. Xipeng Qiu

Papers from Taeuk Kim's perspective

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

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

Their papers

• Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations (2022) — 153 citations
• Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction (2020) — 93 citations