Heung-Seon Oh

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 Heung-Seon Oh 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 Heung-Seon Oh's perspective

Ordered by how strongly the researchers Heung-Seon Oh trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
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