Adrian Flanagan

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 Adrian Flanagan trusts overall

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

1. Diederik P. Kingma
2. Marko Balabanovic
3. Ajit Paul Singh
4. Jasper Snoek
5. H. Brendan McMahan
6. Yifan Hu
7. F. Maxwell Harper
8. Jimmy Ba
9. J. Konstan
10. Badrul Munir Sarwar

Who trusts Adrian Flanagan overall

1. Chuhan Wu
2. Fangzhao Wu

Papers from Adrian Flanagan's perspective

Ordered by how strongly the researchers Adrian Flanagan 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. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
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