C. L. Philip Chen
Computer Vision and Pattern Recognition · with Liu · 2018
A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it; #9,244 of 21,575 by trust here, #17,258 by citations
- Computational Mechanics — 6 citations into it
- Artificial Intelligence — 5 citations into it; #14,265 of 35,345 by trust here, #26,682 by citations
- Model Architectures — 5 citations into it
Whom C. L. Philip Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Ruslan Salakhutdinov
- Yoshua Bengio
- Joel A. Tropp
- Pascal Vincent
- Ilya Sutskever
- Michal Aharon
- John S. Denker
Who trusts C. L. Philip Chen overall
- Hongtian Chen
- Ieee C. L. Philip Chen Fellow
- Chen Wei
- Shuang Feng
- Bin Jiang
- Zhulin Liu
- Chuang Niu
- Yiping Tang
Papers from C. L. Philip Chen's perspective
Ordered by how strongly the researchers C. L. Philip 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
- 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)