Shaoli Liu
Computer Vision and Pattern Recognition · 2014–2016
A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 56 citations into it
- Artificial Intelligence — 36 citations into it
- Signal Processing — 10 citations into it
Whom Shaoli Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Alex Graves
- Yoshua Bengio
- Kaiming He
- Alex Krizhevsky
- J. Urgen Schmidhuber
- L. Eon Bottou
- Ruslan Salakhutdinov
- Ilya Sutskever
Who trusts Shaoli Liu overall
- Hardik Sharma
- Xiaofan Lin
- Patrick Judd
- Udit Gupta
- Minsoo Rhu
- Ahmad Shawahna
- Linghao Song
- Jongse Park
- Jorge Albericio
Papers from Shaoli Liu's perspective
Ordered by how strongly the researchers Shaoli Liu 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- DaDianNao: A Machine-Learning Supercomputer (2014) — 1,438 citations
- Cambricon-X: An accelerator for sparse neural networks (2016) — 719 citations
- Cambricon: An Instruction Set Architecture for Neural Networks (2016) — 315 citations
- PuDianNao: A Polyvalent Machine Learning Accelerator (2015) — 314 citations