SueYeon Chung

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #29,400 of 35,345 by trust here, #20,836 by citations
• Computer Vision and Pattern Recognition — 12 citations into it; #18,083 of 21,575 by trust here, #13,815 by citations
• Scaling & Learning Theory — 12 citations into it
• Model Architectures — 8 citations into it

Whom SueYeon Chung trusts overall

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

1. Yuhai Wu
2. E. Gardner
3. Jia Deng
4. Christian Szegedy
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Marc'Aurelio Ranzato
9. Kaiming He
10. Yann LeCun

Who trusts SueYeon Chung overall

1. Grace W. Lindsay
2. Cory Stephenson
3. Giuseppe Carleo
4. Alessio Ansuini
5. Suchismita Padhy
6. Mehrdad Jazayeri

Papers from SueYeon Chung's perspective

Ordered by how strongly the researchers SueYeon Chung 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• On the geometry of generalization and memorization in deep neural networks (2021) — 99 citations
• Classification and Geometry of General Perceptual Manifolds (2017) — 193 citations