Were Oyomno

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Optimization & Training — 17 citations into it
• Information Systems — 14 citations into it
• Management Science and Operations Research — 9 citations into it

Whom Were Oyomno trusts overall

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

1. Diederik P. Kingma
2. Jasper Snoek
3. H. Brendan McMahan
4. Yifan Hu
5. F. Maxwell Harper
6. Jimmy Ba
7. L. Eon Bottou
8. Geoffrey E. Hinton
9. Yehuda Koren
10. Marko Balabanovic

Who trusts Were Oyomno overall

1. Chuhan Wu

Papers from Were Oyomno's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
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 Collaborative Filtering for Privacy-Preserving Personalized Recommendation System (2019) — 374 citations
• Federated Multi-view Matrix Factorization for Personalized Recommendations (2020) — 84 citations