Meysam Sadeghi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Meysam Sadeghi trusts overall

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

1. Tim O'Shea
2. Christian Szegedy
3. Ian J. Goodfellow
4. Chaoyun Zhang
5. Seyed-Mohsen Moosavi-Dezfooli
6. Haoran Sun
7. T. Clancy
8. Nathan E. West
9. Ilya Sutskever
10. Geoffrey E. Hinton

Papers from Meysam Sadeghi's perspective

Ordered by how strongly the researchers Meysam Sadeghi 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Going deeper with convolutions
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Adversarial Attacks on Deep-Learning Based Radio Signal Classification (2018) — 307 citations