Cheng-Tao Chung
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it; #16,714 of 35,345 by trust here, #23,077 by citations
- Model Architectures — 6 citations into it; #1,400 of 2,278 by trust here, #1,855 by citations
Whom Cheng-Tao Chung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Sepp Hochreiter
- Yoshua Bengio
- Vinod Nair
- Kyunghyun Cho
- J. Urgen Schmidhuber
- Ilya Sutskever
- Diederik P. Kingma
- Andrej Karpathy
- Alex Krizhevsky
Who trusts Cheng-Tao Chung overall
- Yonatan Belinkov
- Yu-Hsuan Wang
- Nadir Durrani
- Hung-yi Lee
- Wei-Ning Hsu
- Chih-Kuan Yeh
- Yi-Chen Chen
- Kuan-Yu Chen
- Fahim Dalvi
Papers from Cheng-Tao Chung's perspective
Ordered by how strongly the researchers Cheng-Tao Chung trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- 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
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)