Yi-An Chen
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 101 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 34 citations into it; #15,139 of 21,575 by trust here, #20,271 by citations
- Generative Models — 32 citations into it; #1,448 of 1,956 by trust here, #1,902 by citations
- Artificial Intelligence — 19 citations into it; #24,584 of 35,345 by trust here, #32,362 by citations
- Signal Processing — 6 citations into it
Whom Yi-An Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
- Kaiming He
- Andrew Zisserman
- Ilya Sutskever
- Ian J. Goodfellow
Who trusts Yi-An Chen overall
Papers from Yi-An Chen's perspective
Ordered by how strongly the researchers Yi-An 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)
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (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
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
Their papers
- Generative Latent Flow: A Framework for Non-adversarial Image Generation (2019) — 15 citations