Durmus Alp Emre Acar

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Federated & Distributed Learning — 15 citations into it
• Computational Mechanics — 6 citations into it

Whom Durmus Alp Emre Acar trusts overall

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

1. Kaiming He
2. Tian Li
3. H. Brendan McMahan
4. Yann LeCun
5. Peter Richtárik
6. Alex Krizhevsky
7. Jakub Konecný
8. Anit Kumar Sahu
9. Ohad Shamir
10. Reese Pathak

Who trusts Durmus Alp Emre Acar overall

1. Qinbin Li
2. Lin Zhang
3. Liang Gao

Papers from Durmus Alp Emre Acar's perspective

Ordered by how strongly the researchers Durmus Alp Emre Acar 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. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Federated Learning Based on Dynamic Regularization (2021) — 1,176 citations