What ensemble methods are used in the state-of-the-art models?
When I surveyed the state-of-the-art methods of classification and detection, e.g. ImageNet, COCO, etc., I noticed that are few or even no references to the use of ensemble methods like bagging or boosting.
Is it a bad idea to use them?
However, I observed that many use ensemble in Kaggle competitions.
What makes it so different between the two groups of researchers?