Abstract: Self-training is a novel learning paradigm that generates pseudolabels for unlabeled data, enabling deep learning models to be trained without the need for humanlabeled data. This article ...
When formulating assertions, JUnit quickly reaches its limits. The AssertJ and Google Truth libraries offer new possibilities ...
Abstract: In the field of class incremental leaming (CIL), generative replay has become increasingly prominent as a method to mitigate the catastrophic forgetting, alongside the continuous ...
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