Lei Zhang

Artificial Intelligence · with Deng · 2020

A researcher in the Science corpus: 1 paper; trusts 102 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 88 citations into it; #30,848 of 35,345 by trust here, #34,213 by citations
• Computer Vision and Pattern Recognition — 60 citations into it; #18,940 of 21,575 by trust here, #21,103 by citations
• Representation & Self-Supervised Learning — 34 citations into it

Whom Lei Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Mingsheng Long
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yann LeCun
8. Ilya Sutskever
9. Radford M. Neal
10. Ross B. Girshick

Who trusts Lei Zhang overall

1. Andrea Gesmundo

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.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Survey on Negative Transfer (2020) — 375 citations