Seyed Ali Osia

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Safety, Robustness & Interpretability — 9 citations into it

Whom Seyed Ali Osia trusts overall

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

1. Gil Levi
2. Cynthia Dwork
3. Yoshua Bengio
4. Yann LeCun
5. Sumit Chopra
6. Geoffrey E. Hinton
7. Raia Hadsell
8. Karen Simonyan
9. Alex Krizhevsky
10. Andrew Zisserman

Who trusts Seyed Ali Osia overall

1. Fatemehsadat Mireshghallah
2. Mohammadkazem Taram
3. Chaoyun Zhang
4. Md Maruf Hossain Shuvo
5. Abhishek Singh
6. Fan Mo
7. Ali Shahin Shamsabadi
8. Muhammad Usama
9. Taegyeong Lee
10. Hamed Haddadi

Papers from Seyed Ali Osia's perspective

Ordered by how strongly the researchers Seyed Ali Osia 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics (2017) — 266 citations