Patrick H. Chen
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
- Meta & Continual Learning — 5 citations into it
Whom Patrick H. Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Anthony V. Robins
- Yann LeCun
- David Lopez-Paz
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Marc'Aurelio Ranzato
- Radford M. Neal
- Friedemann Zenke
Who trusts Patrick H. Chen overall
Papers from Patrick H. Chen's perspective
Ordered by how strongly the researchers Patrick H. Chen 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)