Doe Hyun Yoon

2017–2021

A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Doe Hyun Yoon trusts overall

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

1. Sergey Ioffe
2. Naveen Mellempudi

Who trusts Doe Hyun Yoon overall

1. Yi Tay

Papers from Doe Hyun Yoon's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Large Scale Distributed Deep Networks
4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
5. A Stochastic Approximation Method
6. In-datacenter performance analysis of a tensor processing unit
7. Deep Learning with Limited Numerical Precision
8. Mixed Precision Training
9. ImageNet classification with deep convolutional neural networks
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• A domain-specific supercomputer for training deep neural networks (2020) — 294 citations
• Ten Lessons From Three Generations Shaped Google’s TPUv4i : Industrial Product (2021) — 445 citations
• In-datacenter performance analysis of a tensor processing unit (2017) — 5,323 citations