Mohammad Hossein Rohban

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 132 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 73 citations into it
• Safety, Robustness & Interpretability — 42 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Signal Processing — 13 citations into it
• Optimization & Training — 12 citations into it
• Hardware and Architecture — 5 citations into it

Whom Mohammad Hossein Rohban trusts overall

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

1. Nicholas Carlini
2. Diederik P. Kingma
3. Kaiming He
4. Geoffrey E. Hinton
5. Yann LeCun
6. Ian J. Goodfellow
7. Yoshua Bengio
8. Alex Krizhevsky
9. Karen Simonyan
10. Ilya Sutskever

Papers from Mohammad Hossein Rohban's perspective

Ordered by how strongly the researchers Mohammad Hossein Rohban 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Towards Deep Learning Models Resistant to Large Perturbations (2020) — 14 citations
• Multiresolution Knowledge Distillation for Anomaly Detection (2020) — 663 citations