Kyungwoo Song

Artificial Intelligence · with Park · 2024

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Meta & Continual Learning — 13 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Kyungwoo Song trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Kaiming He
5. Diederik P. Kingma
6. Huaiyu Zhu
7. Yann LeCun
8. Ilya Sutskever
9. Oriol Vinyals
10. Da-Wei Zhou

Papers from Kyungwoo Song's perspective

Ordered by how strongly the researchers Kyungwoo Song 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Pre-trained Vision and Language Transformers are Few-Shot Incremental Learners (2024) — 60 citations