Hunain Arif

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it
• Generative Models — 5 citations into it

Whom Hunain Arif trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ruslan Salakhutdinov
4. J. Urgen Schmidhuber
5. Alex Krizhevsky
6. Yann LeCun
7. Carl Doersch

Papers from Hunain Arif's perspective

Ordered by how strongly the researchers Hunain Arif 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. GENERATIVE ADVERSARIAL NETS
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. A Fast Learning Algorithm for Deep Belief Nets
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges (2017) — 433 citations