Zachary Garrett
Artificial Intelligence · 2019–2025
A researcher in the Science corpus: 5 papers; trusts 33 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 607 citations into it; #31,703 of 35,345 by trust here, #2,944 by citations
- Privacy & Security — 226 citations into it
- Federated & Distributed Learning — 209 citations into it; #278 of 319 by trust here, #30 by citations
- Optimization & Training — 209 citations into it; #2,466 of 2,601 by trust here, #1,134 by citations
- Computer Vision and Pattern Recognition — 94 citations into it
- Electrical and Electronic Engineering — 37 citations into it
- Representation & Self-Supervised Learning — 21 citations into it
Whom Zachary Garrett trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- H. Brendan McMahan
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Sepp Hochreiter
- Yann LeCun
- Tian Li
- Ross B. Girshick
Who trusts Zachary Garrett overall
Papers from Zachary Garrett's perspective
Ordered by how strongly the researchers Zachary Garrett 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
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Advances and Open Problems in Federated Learning (2019) — 9,019 citations
- Adaptive Federated Optimization (2020) — 2,039 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- On Large-Cohort Training for Federated Learning (2021) — 126 citations
- A Field Guide to Federated Optimization (2021) — 487 citations