Muhammad Ammad-ud-din
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 Muhammad Ammad-ud-din trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Diederik P. Kingma
- Yehuda Koren
- Martin A. Zinkevich
- Jasper Snoek
- Geoffrey E. Hinton
- Xiaoyuan Su
- Jimmy Ba
- Yifan Hu
- F. Maxwell Harper
Who trusts Muhammad Ammad-ud-din overall
Papers from Muhammad Ammad-ud-din's perspective
Ordered by how strongly the researchers Muhammad Ammad-ud-din trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- 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
- Federated Multi-view Matrix Factorization for Personalized Recommendations (2020) — 84 citations