Adrian Nilsson

DIDL@Middleware · 2018

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

Whom Adrian Nilsson trusts overall

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

1. Yushi Wang
2. Yann LeCun
3. H. Brendan McMahan
4. Jakub Konecný
5. Corinna Cortes
6. Daniel Ramage
7. Yoshua Bengio
8. Geoffrey E. Hinton

Who trusts Adrian Nilsson overall

1. Qinbin Li
2. Sawsan AbdulRahman
3. Latif Ullah Khan
4. Zeyi Wen

Papers from Adrian Nilsson's perspective

Ordered by how strongly the researchers Adrian Nilsson trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Performance Evaluation of Federated Learning Algorithms (2018) — 325 citations