Mohammad Amini

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it

Whom Mohammad Amini trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Christian Szegedy
5. Ian J. Goodfellow
6. Yoshua Bengio
7. Kaiming He
8. Nitish Srivastava
9. Yann LeCun
10. Naftali Tishby

Who trusts Mohammad Amini overall

1. C. Yuhua

Papers from Mohammad Amini's perspective

Ordered by how strongly the researchers Mohammad Amini trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• PatchUp: A Regularization Technique for Convolutional Neural Networks (2020) — 39 citations