Jawad Ali Khan

Computer Vision and Pattern Recognition · 2020

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

• Computer Vision and Pattern Recognition — 13 citations into it
• Model Architectures — 7 citations into it

Whom Jawad Ali Khan trusts overall

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

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

Who trusts Jawad Ali Khan overall

1. Jie Ren

Papers from Jawad Ali Khan's perspective

Ordered by how strongly the researchers Jawad Ali Khan 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. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• AutoTM: Automatic Tensor Movement in Heterogeneous Memory Systems using Integer Linear Programming (2020) — 91 citations