Jaebok Kim
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it
- Signal Processing — 8 citations into it
- Speech & Audio — 6 citations into it
Whom Jaebok Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jaebok Kim overall
Papers from Jaebok Kim's perspective
Ordered by how strongly the researchers Jaebok Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database