Huzefa Rangwala
Artificial Intelligence · 2012–2019
A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it; #16,264 of 35,345 by trust here, #21,878 by citations
- Optimization & Training — 26 citations into it
- Federated & Distributed Learning — 20 citations into it
- Electrical and Electronic Engineering — 9 citations into it
- Management Science and Operations Research — 7 citations into it
- Computational Mechanics — 6 citations into it
Whom Huzefa Rangwala trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- H. Brendan McMahan
- L. Eon Bottou
- Yurii E. Nesterov
- Jimmy Ba
- Jakub Konecný
- Geoffrey E. Hinton
- Ofer Dekel
- Inci M. Baytas
- Keerthiram Murugesan
- Yoshua Bengio
Who trusts Huzefa Rangwala overall
Papers from Huzefa Rangwala's perspective
Ordered by how strongly the researchers Huzefa Rangwala trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Layer Normalization
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Metagenomic Taxonomic Classification Using Extreme Learning Machines (2012) — 32 citations
- Colonic microbiome is altered in alcoholism. (2012) — 711 citations
- Asynchronous Online Federated Learning for Edge Devices (2019) — 57 citations
- Asynchronous Online Federated Learning for Edge Devices with Non-IID Data (2019) — 480 citations