Kukjin Choi

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Signal Processing — 21 citations into it
• Computer Networks and Communications — 13 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Kukjin Choi trusts overall

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

1. Sepp Hochreiter
2. Christopher A. Sims
3. John Cristian Borges Gamboa
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Ian J. Goodfellow
7. Aditya P. Mathur
8. Alex Krizhevsky
9. Alec Radford
10. J. Urgen Schmidhuber

Papers from Kukjin Choi's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines (2021) — 521 citations