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Found 2 papers, 2 papers with code
AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles
AdaNet is a lightweight TensorFlow-based (Abadi et al., 2015) framework for automatically learning high-quality ensembles with minimal expert intervention.
Improving Neural Architecture Search Image Classifiers via Ensemble Learning
However, once a good building block is found, manual design is still required to assemble the final architecture as a combination of multiple blocks under a predefined parameter budget constraint.
Ranked #63 on
Image Classification
on CIFAR-100
(using extra training data)
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