Muhammad Shahzad
Artificial Intelligence · with Zhu · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 111 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 142 citations into it
- Computer Vision and Pattern Recognition — 75 citations into it
- Probabilistic & Bayesian Methods — 50 citations into it
- Optimization & Training — 29 citations into it
- Statistics and Probability — 12 citations into it
- Media Technology — 11 citations into it
- Control and Systems Engineering — 8 citations into it
- Model Architectures — 7 citations into it
Whom Muhammad Shahzad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Karen Simonyan
- Alex Krizhevsky
- Yann LeCun
- Ross B. Girshick
- Yoshua Bengio
- Andrew Zisserman
- Diederik P. Kingma
- Radford M. Neal
Who trusts Muhammad Shahzad overall
Papers from Muhammad Shahzad's perspective
Ordered by how strongly the researchers Muhammad Shahzad trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Unsupervised Single-Scene Semantic Segmentation for Earth Observation (2022) — 41 citations
- A survey of uncertainty in deep neural networks (2021) — 1,852 citations