1. Random search for hyper-parameter optimization;Bergstra;The Journal of Machine Learning Research,2012
2. Going into depth: Evaluating 2d and 3d cues for object classification on a new, large-scale object dataset;Browatzki,2011
3. Stacked convolutional denoising auto-encoders for feature representation;Du;IEEE transactions on cybernetics,2017
4. Forward and reverse gradient-based hyperparameter optimization;Franceschi,2017
5. Bilevel programming for hyperparameter optimization and meta-learning;Franceschi,2018