Woonhyuk Baek

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 Woonhyuk Baek trusts overall

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

1. Alex Krizhevsky

Papers from Woonhyuk Baek's perspective

Ordered by how strongly the researchers Woonhyuk Baek 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Language Models are Unsupervised Multitask Learners
9. Large Scale Distributed Deep Networks
10. Learning Multiple Layers of Features from Tiny Images

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