Seongwon Jang

Information Systems · 2019

A researcher in the Science corpus: 1 paper; 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 Seongwon Jang trusts overall

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

1. Geoffrey E. Hinton
2. L. V. D. van der Maaten

Papers from Seongwon Jang's perspective

Ordered by how strongly the researchers Seongwon Jang 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. Rectified Linear Units Improve Restricted Boltzmann Machines
4. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Matching Networks for One Shot Learning
10. Visualizing Data using t-SNE

Their papers

• MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation (2019) — 469 citations