Mohammed Adnan

Artificial Intelligence · 2021

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

Subfields

• Artificial Intelligence — 23 citations into it

Whom Mohammed Adnan trusts overall

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

1. Cynthia Dwork
2. Gao Huang
3. Krishna Pillutla
4. Maximilian Ilse
5. Georgios Kaissis
6. L. DeCamp
7. Ilya Mironov
8. Martín Abadi
9. Xiaoxiao Li
10. H. Brendan McMahan

Who trusts Mohammed Adnan overall

1. Mingxia Liu

Papers from Mohammed Adnan's perspective

Ordered by how strongly the researchers Mohammed Adnan 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Federated learning and differential privacy for medical image analysis (2021) — 429 citations