Yuchul Jung

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Signal Processing — 11 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Yuchul Jung trusts overall

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

1. Diederik P. Kingma
2. Pete Warden
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Dan Hendrycks
7. Jacob Devlin
8. Alex Krizhevsky
9. Herv'e J'egou
10. Kaiming He

Papers from Yuchul Jung's perspective

Ordered by how strongly the researchers Yuchul Jung 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Wav2KWS: Transfer Learning From Speech Representations for Keyword Spotting (2021) — 72 citations