Armin Askari
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it; #34,496 of 35,345 by trust here, #25,040 by citations
- Optimization & Training — 20 citations into it; #2,553 of 2,601 by trust here, #2,378 by citations
- Computer Vision and Pattern Recognition — 14 citations into it
- Computational Mechanics — 12 citations into it; #9,686 of 10,001 by trust here, #8,258 by citations
- Numerical Analysis — 6 citations into it
Whom Armin Askari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Simon Lacoste-Julien
- Martin Jaggi
- Yurii E. Nesterov
- Kaiming He
- Geoffrey E. Hinton
- Karen Simonyan
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- Stéphane Mallat
Who trusts Armin Askari overall
Papers from Armin Askari's perspective
Ordered by how strongly the researchers Armin Askari 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Dropout: a simple way to prevent neural networks from overfitting
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Implicit Deep Learning (2019) — 221 citations
- Linearly Convergent Frank-Wolfe with Backtracking Line-Search. (2018) — 71 citations