Muhammad Shafique

Artificial Intelligence · with Hanif · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Meta & Continual Learning — 11 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Muhammad Shafique trusts overall

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

1. Geoffrey E. Hinton
2. John M. Pierre
3. Rahaf Aljundi

Papers from Muhammad Shafique's perspective

Ordered by how strongly the researchers Muhammad Shafique 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. Distilling the Knowledge in a Neural Network (arXiv.org)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks (2021) — 150 citations