Juyeon Heo

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 164 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it; #23,451 of 35,345 by trust here, #22,463 by citations
• Safety, Robustness & Interpretability — 29 citations into it; #1,535 of 2,251 by trust here, #1,857 by citations
• Computer Vision and Pattern Recognition — 20 citations into it
• Biophysics — 6 citations into it

Whom Juyeon Heo trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Andrew Zisserman
6. Matthew D. Zeiler
7. Yoshua Bengio
8. Diederik P. Kingma
9. Yann LeCun
10. Rob Fergus

Who trusts Juyeon Heo overall

1. Sarah Wiegreffe
2. Botty Dimanov
3. Laura Rieger
4. Ana Marasovic
5. Dylan Slack
6. Umang Bhatt
7. Lars Kai Hansen
8. Wojciech Samek

Papers from Juyeon Heo's perspective

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

Their papers

• Fooling Neural Network Interpretations via Adversarial Model Manipulation (2019) — 241 citations