Sharare Zehtabian

Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models

Several recently proposed unsupervised meta-learning approaches rely on synthetic meta-tasks created using techniques such as random selection, clustering and/or augmentation. In this work, we describe a novel approach that generates meta-tasks using generative models. The proposed family of algorit…