Mahdieh Abbasi

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #25,130 of 35,345 by trust here, #25,040 by citations
• Computer Vision and Pattern Recognition — 10 citations into it
• Safety, Robustness & Interpretability — 7 citations into it

Whom Mahdieh Abbasi trusts overall

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

1. Geoffrey E. Hinton
2. Christian Szegedy
3. Ian J. Goodfellow
4. Alex Krizhevsky
5. Ilya Sutskever
6. Seyed-Mohsen Moosavi-Dezfooli
7. Sara Sabour
8. Kaiming He
9. Yoshua Bengio
10. Yann LeCun

Who trusts Mahdieh Abbasi overall

1. Naveed Akhtar
2. Justin Gilmer
3. Warren He
4. Ajmal Saeed Mian
5. James Wei
6. Joseph Clements
7. Luke Metz
8. A. Serban

Papers from Mahdieh Abbasi's perspective

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

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

Their papers

• Robustness to Adversarial Examples through an Ensemble of Specialists (2017) — 112 citations