Mohammad Mahdi Kamani
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 4 papers; trusts 88 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 134 citations into it; #23,792 of 35,345 by trust here, #12,580 by citations
- Optimization & Training — 84 citations into it; #2,162 of 2,601 by trust here, #1,661 by citations
- Federated & Distributed Learning — 48 citations into it; #219 of 319 by trust here, #237 by citations
- Computational Mechanics — 29 citations into it
- Computer Vision and Pattern Recognition — 29 citations into it
- Efficiency & Compression — 21 citations into it
- ML Systems & Hardware — 20 citations into it; #496 of 575 by trust here, #485 by citations
- Computer Networks and Communications — 17 citations into it
Whom Mohammad Mahdi Kamani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sebastian U. Stich
- L. Eon Bottou
- Alex Krizhevsky
- Geoffrey E. Hinton
- Hao Yu
- Yoshua Bengio
- Kaiming He
- Yann LeCun
- Shai Shalev-Shwartz
- Diederik P. Kingma
Who trusts Mohammad Mahdi Kamani overall
- Farzin Haddadpour
- Yutao Huang
- Liam Collins
- Yuyang Deng
- Canh T. Dinh
- Mehrdad Mahdavi
- Aryan Mokhtari
- Xinmeng Huang
- Michael Zhang
- Xinwei Zhang
Papers from Mohammad Mahdi Kamani's perspective
Ordered by how strongly the researchers Mohammad Mahdi Kamani trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization (2019) — 228 citations
- Adaptive Personalized Federated Learning (2020) — 710 citations
- Federated Learning with Compression: Unified Analysis and Sharp Guarantees (2020) — 337 citations
- Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization (2019) — 72 citations