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Found 2 papers, 2 papers with code
Towards robust vision by multi-task learning on monkey visual cortex
We found that our co-trained network is more sensitive to content than noise when compared to a Baseline network that we trained for image classification alone.
On the Performance of Differential Evolution for Hyperparameter Tuning
This empirical study involves a range of different machine learning algorithms and datasets with various characteristics to compare the performance of Differential Evolution with Sequential Model-based Algorithm Configuration (SMAC), a reference Bayesian Optimization approach.
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