Ting-Kuei Hu
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 109 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 59 citations into it
- Computer Vision and Pattern Recognition — 56 citations into it
- Efficiency & Compression — 34 citations into it
- Safety, Robustness & Interpretability — 21 citations into it
- Model Architectures — 19 citations into it
- Optimization & Training — 5 citations into it
Whom Ting-Kuei Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Christian Szegedy
- Ian J. Goodfellow
- Yoshua Bengio
- Yann LeCun
- Ross B. Girshick
- Ilya Sutskever
- Diederik P. Kingma
Who trusts Ting-Kuei Hu overall
Papers from Ting-Kuei Hu's perspective
Ordered by how strongly the researchers Ting-Kuei Hu 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions