Jaehyun Kim

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #31,170 of 35,345 by trust here, #20,836 by citations
• Computer Networks and Communications — 5 citations into it; #8,548 of 9,886 by trust here, #4,757 by citations
• Model Architectures — 5 citations into it

Whom Jaehyun Kim trusts overall

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

1. Paul J. Werbos
2. Mantas Lukosevicius
3. Sepp Hochreiter
4. Andrew H. Sung
5. J. Urgen Schmidhuber
6. Klaus Greff

Who trusts Jaehyun Kim overall

1. William Grant Hatcher
2. Mohamed Amine Ferrag
3. Yihan Xiao
4. Fatima Hussain
5. Kaiyuan Jiang

Papers from Jaehyun Kim's perspective

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

1. Long Short-Term Memory
2. Backpropagation Through Time: What It Does and How to Do It
3. LSTM: A Search Space Odyssey
4. Reservoir computing approaches to recurrent neural network training
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. ImageNet classification with deep convolutional neural networks
8. Identifying important features for intrusion detection using support vector machines and neural networks (2003 Symposium on Applications and the Internet, 2003. Proceedings.)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Long Short Term Memory Recurrent Neural Network Classifier for Intrusion Detection (2016) — 584 citations