Boogeon Yoon

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it

Whom Boogeon Yoon trusts overall

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

1. Alex Krizhevsky

Papers from Boogeon Yoon's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Large Scale Distributed Deep Networks
5. Language Models are Unsupervised Multitask Learners
6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Automatic differentiation in PyTorch
9. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
10. Categorical Reparameterization with Gumbel-Softmax

Their papers

• Scalable Neural Architecture Search for 3D Medical Image Segmentation (2019) — 84 citations
• torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models (2020) — 63 citations