Taegyun Jeon

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Safety, Robustness & Interpretability — 23 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it

Whom Taegyun Jeon trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Matthew D. Zeiler
5. Ross B. Girshick
6. Yoshua Bengio
7. Ian J. Goodfellow
8. Kaiming He
9. Diederik P. Kingma
10. Christian Szegedy

Papers from Taegyun Jeon's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Bridging Adversarial Robustness and Gradient Interpretability (2019) — 45 citations
• RBox-CNN: rotated bounding box based CNN for ship detection in remote sensing image (2018) — 29 citations