Muhammad Rehman Zafar

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Muhammad Rehman Zafar trusts overall

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

1. Ruth C. Fong
2. Ian J. Goodfellow
3. Marco Tulio Ribeiro
4. Andrew Slavin Ross
5. Andrea Vedaldi
6. Christian Szegedy
7. Geoffrey E. Hinton
8. Sameer Singh
9. Radford M. Neal
10. Alex Krizhevsky

Papers from Muhammad Rehman Zafar's perspective

Ordered by how strongly the researchers Muhammad Rehman Zafar 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. 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deterministic Local Interpretable Model-Agnostic Explanations for Stable Explainability (2021) — 330 citations