Muhammad Abdullah Hanif

Artificial Intelligence · 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 Abdullah Hanif trusts overall

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

1. Geoffrey E. Hinton
2. John M. Pierre
3. Rahaf Aljundi
4. Alex Krizhevsky
5. Yoshua Bengio
6. Zhizhong Li
7. Davide Maltoni
8. Oriol Vinyals
9. Diederik P. Kingma
10. Kaiming He

Papers from Muhammad Abdullah Hanif's perspective

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

Their papers

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