Suleiman A. Khan
Artificial Intelligence · 2014–2020
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- Optimization & Training — 18 citations into it
- Information Systems — 14 citations into it
- Management Science and Operations Research — 9 citations into it
Whom Suleiman A. Khan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- L. Eon Bottou
- Yehuda Koren
- Jasper Snoek
- Geoffrey E. Hinton
- Jimmy Ba
- H. Brendan McMahan
- Yifan Hu
- F. Maxwell Harper
Who trusts Suleiman A. Khan overall
Papers from Suleiman A. Khan's perspective
Ordered by how strongly the researchers Suleiman A. Khan trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System (2019) — 374 citations
- A community effort to assess and improve drug sensitivity prediction algorithms (2014) — 728 citations
- Federated Multi-view Matrix Factorization for Personalized Recommendations (2020) — 84 citations