Matthew Sotoudeh
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it
- Safety, Robustness & Interpretability — 11 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Signal Processing — 5 citations into it
- Software — 5 citations into it
Whom Matthew Sotoudeh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian J. Goodfellow
- Christian Szegedy
- Kexin Pei
- Augustus Odena
- Osbert Bastani
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ilya Sutskever
- Dan Hendrycks
- Ronald Kemker
Who trusts Matthew Sotoudeh overall
Papers from Matthew Sotoudeh's perspective
Ordered by how strongly the researchers Matthew Sotoudeh trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Provable repair of deep neural networks (2021) — 89 citations