Yeh-Chi Lo
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 17 citations into it
- Artificial Intelligence — 14 citations into it
- Optimization & Training — 6 citations into it
Whom Yeh-Chi Lo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Xavier Glorot
- Yann LeCun
- Evan Shelhamer
- Jimmy Ba
Papers from Yeh-Chi Lo's perspective
Ordered by how strongly the researchers Yeh-Chi Lo trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Dropout: a simple way to prevent neural networks from overfitting
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)