Haeyong Kang

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 117 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 84 citations into it
• Computer Vision and Pattern Recognition — 61 citations into it
• Meta & Continual Learning — 50 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Efficiency & Compression — 15 citations into it
• Model Architectures — 10 citations into it
• Reinforcement Learning — 5 citations into it

Whom Haeyong Kang trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Kaiming He
5. Yann LeCun
6. Diederik P. Kingma
7. Ilya Sutskever
8. Ross B. Girshick
9. Marc'Aurelio Ranzato
10. Karen Simonyan

Papers from Haeyong Kang's perspective

Ordered by how strongly the researchers Haeyong Kang 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• On the Soft-Subnetwork for Few-shot Class Incremental Learning (2022) — 65 citations
• Forget-free Continual Learning with Winning Subnetworks (2022) — 173 citations