Cheng-chieh Yeh
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #18,872 of 35,345 by trust here, #15,866 by citations
- Speech & Audio — 17 citations into it; #635 of 1,076 by trust here, #797 by citations
- Signal Processing — 16 citations into it; #4,128 of 7,572 by trust here, #4,051 by citations
- Generative Models — 12 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
Whom Cheng-chieh Yeh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Individualized Treat
- Alex Graves
- Geoffrey E. Hinton
- Emily L. Denton
- Diederik P. Kingma
- Yoshua Bengio
- Wei-Ning Hsu
- Yuxuan Wang
- Phillip Isola
- Alex Krizhevsky
Who trusts Cheng-chieh Yeh overall
- Po-Chun Hsu
- Andy T. Liu
- Ali Asghar Zare
- Kaizhi Qian
- Hung-yi Lee
- Wei-Ning Hsu
- Tzu-hsien Huang
- Jordi Pons
Papers from Cheng-chieh Yeh's perspective
Ordered by how strongly the researchers Cheng-chieh Yeh trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- GENERATIVE ADVERSARIAL NETS
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)