Lei Zhang
Computer Vision and Pattern Recognition · with Qian · 2018
A researcher in the Science corpus: 2 papers; trusts 191 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it; #12,015 of 21,575 by trust here, #20,271 by citations
- Artificial Intelligence — 17 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Generative Models — 7 citations into it; #1,101 of 1,956 by trust here, #1,902 by citations
- Model Architectures — 6 citations into it
Whom Lei Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Kaiming He
- Ruslan Salakhutdinov
- Karen Simonyan
- Honglak Lee
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Lei Zhang overall
Papers from Lei Zhang's perspective
Ordered by how strongly the researchers Lei Zhang 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Single-label and multi-label conceptor classifiers in pre-trained neural networks (2018) — 5 citations
- Convolutional adaptive denoising autoencoders for hierarchical feature extraction (2018) — 25 citations