Hyunsouk Cho

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 Hyunsouk Cho 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 Hyunsouk Cho's perspective

Ordered by how strongly the researchers Hyunsouk Cho 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Visualizing Data using t-SNE
6. ImageNet classification with deep convolutional neural networks
7. Prototypical Networks for Few-shot Learning
8. Automatic differentiation in PyTorch
9. Attention is All you Need (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

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