Osman Hasan

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 Osman Hasan 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. Kaiming He
10. Diederik P. Kingma

Papers from Osman Hasan's perspective

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

Their papers

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