Dong-Pil Yu

2018

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

Whom Dong-Pil Yu trusts overall

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

1. Yaochu Jin

Who trusts Dong-Pil Yu overall

1. Danilo Vasconcellos Vargas

Papers from Dong-Pil Yu's perspective

Ordered by how strongly the researchers Dong-Pil Yu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Practical Bayesian Optimization of Machine Learning Algorithms
2. A comprehensive survey of fitness approximation in evolutionary computation (Soft Computing - A Fusion of Foundations, Methodologies and Applications)
3. ImageNet classification with deep convolutional neural networks
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Going deeper with convolutions
8. Distilling the Knowledge in a Neural Network (arXiv.org)
9. Long Short-Term Memory
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Is it worth to approximate fitness by machine learning?: investigation on the extensibility according to problem size (2018) — 4 citations
• On the hardness of parameter optimization of convolution neural networks using genetic algorithm and machine learning (2018)