Cheonbok Park

Management Science and Operations Research · 2022

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

Subfields

• Management Science and Operations Research — 6 citations into it

Whom Cheonbok Park trusts

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

1. Charles C. Holt (in Management Science and Operations Research)
2. Slawek Smyl (in Management Science and Operations Research)

Papers from Cheonbok Park's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Layer Normalization
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. PyTorch: An Imperative Style, High-Performance Deep Learning Library
6. Domain-Adversarial Training of Neural Networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Adversarial Discriminative Domain Adaptation
9. Gradient-based learning applied to document recognition
10. Instance Normalization: The Missing Ingredient for Fast Stylization

Their papers

• Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift (2022) — 1,187 citations