Chieh Hubert Lin
Computer Vision and Pattern Recognition · with Chen · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 114 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 51 citations into it
- Artificial Intelligence — 42 citations into it
- Generative Models — 22 citations into it
- Model Architectures — 11 citations into it
- Optimization & Training — 11 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom Chieh Hubert Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Jimmy Ba
- Yann LeCun
- Ilya Sutskever
- Takeru Miyato
- Karen Simonyan
Who trusts Chieh Hubert Lin overall
Papers from Chieh Hubert Lin's perspective
Ordered by how strongly the researchers Chieh Hubert Lin 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- COCO-GAN: Generation by Parts via Conditional Coordinating (2019) — 149 citations
- InstaNAS: Instance-aware Neural Architecture Search (2018) — 54 citations