Shoaib Akbar

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 56 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 — 13 citations into it
• Generative Models — 11 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Shoaib Akbar trusts overall

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

1. Laurent Dinh
2. Kaiming He
3. Yoshua Bengio
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Mehdi Mirza
8. Yann LeCun
9. S. van Buuren
10. Lovedeep Gondara

Who trusts Shoaib Akbar overall

1. Nan Rosemary Ke

Papers from Shoaib Akbar's perspective

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

Their papers

• Flow Models for Arbitrary Conditional Likelihoods (2019) — 43 citations