Jiawei Huang
Computer Vision and Pattern Recognition · with Hsu · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 294 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 50 citations into it
- Artificial Intelligence — 44 citations into it
- Model Architectures — 20 citations into it
- Efficiency & Compression — 17 citations into it
- Generative Models — 12 citations into it
- Optimization & Training — 11 citations into it
- Scaling & Learning Theory — 7 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Jiawei Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Ilya Sutskever
- Sergey Ioffe
- Yoshua Bengio
- Christian Szegedy
- Yann LeCun
- Jimmy Ba
- Diederik P. Kingma
Who trusts Jiawei Huang overall
Papers from Jiawei Huang's perspective
Ordered by how strongly the researchers Jiawei Huang 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)