Muhammad Rizwan Asghar

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 71 citations into it
• Safety, Robustness & Interpretability — 42 citations into it
• Computer Networks and Communications — 31 citations into it
• Signal Processing — 25 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Model Architectures — 5 citations into it

Whom Muhammad Rizwan Asghar trusts overall

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

1. Alex Krizhevsky
2. Ian J. Goodfellow
3. Nicolas Papernot
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Nicholas Carlini
7. Yann LeCun
8. Ilya Sutskever
9. Christian Szegedy
10. Robert Tibshirani

Papers from Muhammad Rizwan Asghar's perspective

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

Their papers

• Adversarial Machine Learning for Network Intrusion Detection Systems: A Comprehensive Survey (2023) — 371 citations