Umar Asif

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 19 citations into it
• Efficiency & Compression — 14 citations into it
• Model Architectures — 5 citations into it

Whom Umar Asif trusts overall

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

1. Geoffrey E. Hinton
2. Jimmy Ba
3. Yoshua Bengio
4. Alex Krizhevsky
5. Song Han
6. Kaiming He
7. Sergey Zagoruyko
8. Yann LeCun
9. Diederik P. Kingma
10. Oriol Vinyals

Papers from Umar Asif's perspective

Ordered by how strongly the researchers Umar Asif 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Ensemble Knowledge Distillation for Learning Improved and Efficient Networks (2019) — 92 citations