Jung-un Baek

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Molecular Biology — 12 citations into it
• Cancer Research — 10 citations into it
• Model Architectures — 9 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Natural Language Processing — 5 citations into it

Whom Jung-un Baek trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Nitish Srivastava
5. Kyunghyun Cho
6. Dzmitry Bahdanau
7. Xavier Glorot
8. Alex Krizhevsky
9. Ruslan Salakhutdinov
10. Alex Graves

Who trusts Jung-un Baek overall

1. Mufti Mahmud
2. Seonwoo Min
3. Luigi Troiano

Papers from Jung-un Baek's perspective

Ordered by how strongly the researchers Jung-un Baek 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks (2016)