Damon Civin

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #25,746 of 35,345 by trust here, #5,880 by citations
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Damon Civin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky

Who trusts Damon Civin overall

1. Peter Richtárik
2. Tzu-Ming Harry Hsu
3. Hang Qi
4. Matthew Brown

Papers from Damon Civin's perspective

Ordered by how strongly the researchers Damon Civin trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Learning Multiple Layers of Features from Tiny Images
4. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
5. Large Scale Distributed Deep Networks
6. Large-Scale Machine Learning with Stochastic Gradient Descent
7. Fractional Max-Pooling
8. Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming
9. Communication-Efficient Learning of Deep Networks from Decentralized Data
10. Qualitatively characterizing neural network optimization problems

Their papers

• Federated Learning with Non-IID Data (2018) — 3,343 citations
• The Llama 3 Herd of Models (2024) — 17,085 citations