Yasmine Guendouz
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 49 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Information Systems — 6 citations into it
Whom Yasmine Guendouz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew D. Zeiler
- Yann LeCun
- Geoffrey E. Hinton
- Karen Simonyan
- Yoshua Bengio
- Rob Fergus
- Michael Gusenbauer
- Alex Krizhevsky
Papers from Yasmine Guendouz's perspective
Ordered by how strongly the researchers Yasmine Guendouz 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Visualizing and Understanding Convolutional Networks
- Learning Multiple Layers of Features from Tiny Images