Seonhoon Kim

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 112 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it; #30,719 of 35,345 by trust here, #19,439 by citations
• Computer Vision and Pattern Recognition — 41 citations into it; #19,048 of 21,575 by trust here, #12,992 by citations
• Natural Language Processing — 32 citations into it; #4,999 of 5,688 by trust here, #4,112 by citations
• Question Answering & Reading Comprehension — 9 citations into it
• Model Architectures — 8 citations into it

Whom Seonhoon Kim trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Graves
5. Shaoqing Ren
6. Ilya Sutskever
7. Alex Krizhevsky
8. Tomas Mikolov
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Seonhoon Kim overall

1. Zhiquan Ye
2. Shervin Minaee
3. Shane Storks
4. Bryan McCann
5. Haoyu Song
6. Yuyang Nie
7. Zhenhua Ling
8. Erik Cambria
9. Qiaozi Gao
10. Nitish Shirish Keskar

Papers from Seonhoon Kim's perspective

Ordered by how strongly the researchers Seonhoon Kim 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Self-supervised pre-training and contrastive representation learning for multiple-choice video QA (2020) — 45 citations
• Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information (2018) — 226 citations