Yu-Ying Yeh
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 132 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 45 citations into it; #14,106 of 21,575 by trust here, #11,286 by citations
- Generative Models — 36 citations into it; #1,643 of 1,956 by trust here, #1,549 by citations
- Artificial Intelligence — 29 citations into it; #22,803 of 35,345 by trust here, #16,771 by citations
- Representation & Self-Supervised Learning — 23 citations into it
- Signal Processing — 5 citations into it
Whom Yu-Ying Yeh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Ilya Sutskever
- Individualized Treat
- Karen Simonyan
- Max Welling
Who trusts Yu-Ying Yeh overall
Papers from Yu-Ying Yeh's perspective
Ordered by how strongly the researchers Yu-Ying Yeh 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation (2017) — 117 citations
- A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation (2018) — 232 citations