Julien Stainer

Optimization & Training · 2017

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 22 citations into it
• Artificial Intelligence — 21 citations into it; #20,602 of 35,345 by trust here, #24,417 by citations
• Computer Vision and Pattern Recognition — 10 citations into it
• Algorithms & Complexity — 5 citations into it
• Computational Mechanics — 5 citations into it

Whom Julien Stainer trusts overall

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

1. L. Eon Bottou
2. Tong Zhang
3. Lili Su
4. Simon S. Haykin
5. Rainer Gemulla

Who trusts Julien Stainer overall

1. Cong Xie
2. Oluwasanmi Koyejo
3. Deepesh Data
4. Lie He
5. Xinyang Cao
6. Virat Shejwalkar
7. Hongyi Wang
8. El Mahdi El Mhamdi
9. Clement Fung
10. Sai Praneeth Karimireddy

Papers from Julien Stainer's perspective

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

1. Et al
2. ImageNet classification with deep convolutional neural networks
3. Large Scale Distributed Deep Networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. TensorFlow: A system for large-scale machine learning
9. ImageNet: A large-scale hierarchical image database
10. Large-Scale Machine Learning with Stochastic Gradient Descent

Their papers

• Byzantine-Tolerant Machine Learning (2017) — 88 citations
• Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent (2017) — 2,816 citations