Pathum Chamikara Mahawaga Arachchige

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #28,019 of 35,345 by trust here, #30,347 by citations
• Privacy & Security — 10 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Federated & Distributed Learning — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Pathum Chamikara Mahawaga Arachchige trusts overall

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

1. Otkrist Gupta
2. H. Brendan McMahan
3. Kaiming He
4. Praneeth Vepakomma
5. Jakub Konecný
6. Ramesh Raskar
7. Alex Krizhevsky
8. X. Zhang
9. Martín Abadi
10. Mathias Lécuyer

Who trusts Pathum Chamikara Mahawaga Arachchige overall

1. Enmao Diao
2. Praneeth Vepakomma

Papers from Pathum Chamikara Mahawaga Arachchige's perspective

Ordered by how strongly the researchers Pathum Chamikara Mahawaga Arachchige 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Large Scale Distributed Deep Networks

Their papers

• SplitFed: When Federated Learning Meets Split Learning (2020) — 923 citations