Mehdi Cherti
Computer Vision and Pattern Recognition · 2022–2023
A researcher in the Science corpus: 3 papers; trusts 91 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 173 citations into it; #20,852 of 21,575 by trust here, #2,739 by citations
- Artificial Intelligence — 151 citations into it; #34,285 of 35,345 by trust here, #3,624 by citations
Whom Mehdi Cherti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Xiaohua Zhai
- Jia Deng
- Jimmy Ba
Who trusts Mehdi Cherti overall
- Dhruba Ghosh
- Mitchell Wortsman
- Alexander C. Li
- Yuxin Wen
- Justin Kerr
- Sung Min Park
- Ayca Takmaz
- Rohit Girdhar
- Stephanie Fu
- Adrien Bardes
Papers from Mehdi Cherti's perspective
Ordered by how strongly the researchers Mehdi Cherti 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- LAION-5B: An open large-scale dataset for training next generation image-text models (2022) — 5,389 citations
- Reproducible Scaling Laws for Contrastive Language-Image Learning (2022) — 1,494 citations
- DataComp: In search of the next generation of multimodal datasets (2023) — 734 citations