Mahdieh Soleymani Baghshah

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it; #27,968 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 19 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Natural Language Processing — 11 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Signal Processing — 10 citations into it
• Model Architectures — 5 citations into it

Whom Mahdieh Soleymani Baghshah trusts overall

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

1. Raghuraman Gopalan
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Ralf Klinkenberg
5. Yann LeCun
6. Alex Krizhevsky
7. Yoshua Bengio
8. Mikhail Belkin
9. Sepp Hochreiter
10. Jeff Donahue

Who trusts Mahdieh Soleymani Baghshah overall

1. Hao Wang

Papers from Mahdieh Soleymani Baghshah's perspective

Ordered by how strongly the researchers Mahdieh Soleymani Baghshah 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. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Universal Adversarial Attacks on Text Classifiers (2019) — 110 citations
• Incremental Evolving Domain Adaptation (2016) — 37 citations