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Found 3 papers, 3 papers with code
Learning to Continually Learn with the Bayesian Principle
On the other hand, in the more classical literature of statistical machine learning, many models have sequential Bayesian update rules that yield the same learning outcome as the batch training, i. e., they are completely immune to catastrophic forgetting.
T-GD: Transferable GAN-generated Images Detection Framework
First, we train the teacher model on the source dataset and use it as a starting point for learning the target dataset.
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network
Creating fake images and videos such as "Deepfake" has become much easier these days due to the advancement in Generative Adversarial Networks (GANs).
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