Arslan Zulfiqar

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 25 citations into it
• Efficiency & Compression — 21 citations into it
• Optimization & Training — 9 citations into it
• Model Architectures — 8 citations into it

Whom Arslan Zulfiqar trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Kaiming He
6. Yoshua Bengio
7. Ilya Sutskever
8. Alex Graves
9. Christian Szegedy
10. Andrew Zisserman

Papers from Arslan Zulfiqar's perspective

Ordered by how strongly the researchers Arslan Zulfiqar 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. Gradient-based learning applied to document recognition
4. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design (2016) — 477 citations
• Virtualizing Deep Neural Networks for Memory-Efficient Neural Network Design (2016) — 32 citations