Shabab Bazrafkan

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #10,692 of 35,345 by trust here, #15,236 by citations
• Computer Vision and Pattern Recognition — 7 citations into it; #7,286 of 21,575 by trust here, #10,334 by citations

Whom Shabab Bazrafkan trusts overall

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

1. Karen Simonyan
2. Sergey Ioffe
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Christian Szegedy
6. Individualized Treat
7. Alex Krizhevsky
8. Ian J. Goodfellow
9. Nitish Srivastava
10. Ilya Sutskever

Who trusts Shabab Bazrafkan overall

1. Alex Hernandez-Garcia
2. Prateek Katiyar
3. Connor Shorten
4. Cherry Khosla
5. Ekin Dogus Cubuk
6. Nour Eldeen M. Khalifa
7. Qiang Wang
8. Hung-Yu Tseng
9. Sufeng Duan
10. Zhiting Hu

Papers from Shabab Bazrafkan's perspective

Ordered by how strongly the researchers Shabab Bazrafkan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Smart Augmentation Learning an Optimal Data Augmentation Strategy (2017) — 403 citations