Woo-Young Kang
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Generative Models — 6 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Woo-Young Kang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Diederik P. Kingma
- Geoffrey E. Hinton
- Carl Doersch
- Individualized Treat
- Yoshua Bengio
- Kaiming He
- L. V. D. van der Maaten
- Alex Krizhevsky
- Max Welling
Who trusts Woo-Young Kang overall
Papers from Woo-Young Kang's perspective
Ordered by how strongly the researchers Woo-Young Kang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge