Sehee Chung

Information Systems · 2004–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 12 citations into it
• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Sehee Chung trusts

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

1. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
2. J. Konstan (in Information Systems)
3. L. V. D. van der Maaten (in Computer Vision and Pattern Recognition)

Papers from Sehee Chung's perspective

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

1. Rectified Linear Units Improve Restricted Boltzmann Machines
2. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
3. Matching Networks for One Shot Learning
4. Visualizing Data using t-SNE
5. Prototypical Networks for Few-shot Learning
6. Automatic differentiation in PyTorch
7. Siamese Neural Networks for One-Shot Image Recognition
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. ImageNet classification with deep convolutional neural networks
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• PIRSF: family classification system at the Protein Information Resource (2004) — 234 citations
• MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation (2019) — 469 citations