Aunn Raza

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 Aunn Raza 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
8. Richard S. Sutton
9. Diederik P. Kingma
10. Pedro M. Domingos

Papers from Aunn Raza's perspective

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

Their papers

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