Chengwei Yao
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it; #1,226 of 1,525 by trust here, #1,515 by citations
- Optimization & Training — 6 citations into it; #2,018 of 2,601 by trust here, #2,588 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Chengwei Yao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ruslan Salakhutdinov
- Yoshua Bengio
- Radford M. Neal
- George E. Dahl
- Hugo Larochelle
- Marc'Aurelio Ranzato
- Yann LeCun
- Yoav Freund
- Alex Krizhevsky
Who trusts Chengwei Yao overall
Papers from Chengwei Yao's perspective
Ordered by how strongly the researchers Chengwei Yao 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- 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)