Chang Wen Chen
Computer Vision and Pattern Recognition · with Wang · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 190 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 32 citations into it; #21,572 of 21,575 by trust here, #20,271 by citations
- Artificial Intelligence — 24 citations into it
- Model Architectures — 18 citations into it; #1,315 of 2,278 by trust here, #1,490 by citations
- Efficiency & Compression — 6 citations into it
- Optimization & Training — 6 citations into it
Whom Chang Wen Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Yann LeCun
- Karen Simonyan
- Yoshua Bengio
- Jimmy Ba
- Christian Szegedy
- Ilya Sutskever
- Andrew Zisserman
Who trusts Chang Wen Chen overall
Papers from Chang Wen Chen's perspective
Ordered by how strongly the researchers Chang Wen 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)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Network Morphism (2016) — 195 citations
- Modularized Morphing of Neural Networks (2017) — 21 citations