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Found 2 papers, 1 papers with code
A Self-adaptive Neuroevolution Approach to Constructing Deep Neural Network Architectures Across Different Types
One of the key settings in SANE is the search space defined by cells and organs self-adapted to different DNN types.
Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment
Particularly, by treating all labeled data as positive samples, PU learning is leveraged to identify negative samples (i. e., outliers) from unlabeled data.
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