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Found 3 papers, 1 papers with code
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations
Motivated by this observation, we introduce a novel visual probing framework for explaining the self-supervised models by leveraging probing tasks employed previously in natural language processing.
Distribution-Interpolation Trade off in Generative Models
We investigate the properties of multidimensional probability distributions in the context of latent space prior distributions of implicit generative models.
On Latent Distributions Without Finite Mean in Generative Models
We investigate the properties of multidimensional probability distributions in the context of latent space prior distributions of implicit generative models.
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