Dana Rezazadegan

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 142 citations into it
• Probabilistic & Bayesian Methods — 54 citations into it

Whom Dana Rezazadegan trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Radford M. Neal
4. Alex Krizhevsky
5. Yarin Gal
6. Yoshua Bengio
7. Yann LeCun
8. Ruslan Salakhutdinov
9. Kaiming He
10. Max Welling

Papers from Dana Rezazadegan's perspective

Ordered by how strongly the researchers Dana Rezazadegan 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges (2020) — 2,678 citations
• The Personalization of Conversational Agents in Health Care: Systematic Review (2019) — 308 citations