Samson Zhou
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 178 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 58 citations into it; #16,249 of 21,575 by trust here, #18,266 by citations
- Artificial Intelligence — 46 citations into it; #26,519 of 35,345 by trust here, #28,481 by citations
- Efficiency & Compression — 42 citations into it; #914 of 1,264 by trust here, #1,174 by citations
- Scaling & Learning Theory — 7 citations into it
- Model Architectures — 5 citations into it
Whom Samson Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Karen Simonyan
- Kaiming He
- Vladimir Naumovich Vapnik
- Yoshua Bengio
- Ilya Sutskever
- Andrew Zisserman
- Diederik P. Kingma
Who trusts Samson Zhou overall
Papers from Samson Zhou's perspective
Ordered by how strongly the researchers Samson Zhou 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
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- Data-Independent Neural Pruning via Coresets (2019) — 67 citations
- Data-Independent Structured Pruning of Neural Networks via Coresets (2020) — 28 citations