Saad Albawi

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it; #17,302 of 21,575 by trust here, #16,367 by citations

Whom Saad Albawi trusts overall

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

1. Vincent Dumoulin
2. Francesco Visin
3. Alex Krizhevsky
4. David Stutz
5. Geoffrey E. Hinton
6. Yann LeCun
7. Ilya Sutskever
8. Christian Szegedy
9. Yoshua Bengio

Who trusts Saad Albawi overall

1. Jaeyong Kang
2. Sabeen Ahmed
3. Qian Li
4. Ian J. Goodfellow
5. Zahid Ullah
6. Ian E. Nielsen
7. Upesh Nepal
8. Jianxin Li

Papers from Saad Albawi's perspective

Ordered by how strongly the researchers Saad Albawi trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Going deeper with convolutions
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Understanding of a convolutional neural network (2017) — 3,297 citations