Sangjun Koo

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Sangjun Koo trusts overall

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

1. Diederik P. Kingma
2. Individualized Treat
3. Tim Salimans
4. Ian Lane
5. Jimmy Ba

Papers from Sangjun Koo's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. GENERATIVE ADVERSARIAL NETS
3. Improved Techniques for Training GANs
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Out-of-domain Detection based on Generative Adversarial Network (2018) — 70 citations