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Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
Moreover, experiments on image retrieval using MNIST and PascalVOC showed that the representations of our method can be operated by OR and AND operations.
Representation Uncertainty in Self-Supervised Learning as Variational Inference
In this study, a novel self-supervised learning (SSL) method is proposed, which considers SSL in terms of variational inference to learn not only representation but also representation uncertainties.
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