Jing Kai Siow
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
- Graph Learning — 6 citations into it
Whom Jing Kai Siow trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jing Kai Siow overall
Papers from Jing Kai Siow's perspective
Ordered by how strongly the researchers Jing Kai Siow trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gated Graph Sequence Neural Networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Practical Bayesian Optimization of Machine Learning Algorithms
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions