Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

This paper proposes VaMP, a variational multi-modal prompt learning framework that models text-side prompts as latent variables and performs instance-level uncertainty modeling via variational ...

Abstract: Existing semantic communication (SemCom) frameworks typically emphasize on channel-adaptive neural encoding-decoding schemes, lacking full exploration of signal distribution. Moreover, ...