Jung-Hun Hwang
Artificial Intelligence · 2017
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 — 10 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Control and Systems Engineering — 6 citations into it
Whom Jung-Hun Hwang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Yann LeCun
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ilya Sutskever
- Sergey Levine
- L. Eon Bottou
- Diederik P. Kingma
- J. Urgen Schmidhuber
- Minju Jung
Papers from Jung-Hun Hwang's perspective
Ordered by how strongly the researchers Jung-Hun Hwang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge