Yongsu Ahn

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #24,443 of 35,345 by trust here, #29,412 by citations
• Safety, Robustness & Interpretability — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Safety Research — 8 citations into it; #3,312 of 5,829 by trust here, #4,580 by citations
• Sociology and Political Science — 5 citations into it; #13,502 of 22,756 by trust here, #17,766 by citations

Whom Yongsu Ahn trusts overall

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

1. John C. Gower
2. Niels Bantilan
3. L. V. D. van der Maaten
4. Chen Karako
5. Geoffrey E. Hinton
6. Ke Yang
7. Trevor J. Hastie
8. Sorelle A. Friedler
9. Yao Ming
10. Matt J. Kusner

Who trusts Yongsu Ahn overall

1. Dang Lien Minh
2. H. Xiang Wang
3. Sina Mohseni
4. Y. Fen Li

Papers from Yongsu Ahn's perspective

Ordered by how strongly the researchers Yongsu Ahn 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. Gradient-based learning applied to document recognition
7. Et al
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• FairSight: Visual Analytics for Fairness in Decision Making (2019) — 149 citations