Jun 7, 2018 · The key idea is to dynamically create a graph over embeddings of labeled and unlabeled samples of a training batch to capture underlying ...

The key idea is to dynamically create a graph over embeddings of labeled and unlabeled samples of a training batch to capture underlying structure in feature ...

Jun 6, 2019 · The method aims to encourage compact clustering of a neural net's latent space to facilitate class separation, by taking into account structure ...

We dynamically construct a graph in the latent space of a network at each training iteration, propagate labels to capture the manifold's structure, and ...

Abstract. We present a novel cost function for semi- supervised learning of neural networks that en- courages compact clustering of the latent space to.

A novel cost function for semi-supervised learning of neural networks that encourages compact clustering of the latent space to facilitate separation and ...

Jun 6, 2018 · The key idea is to dynamically create a graph over embeddings of labeled and unlabeled samples of a training batch to capture underlying ...

Duration: 21:41
Posted: Jul 28, 2018

Jul 28, 2018 · The key idea is to dynamically create a graph over embeddings of labeled and unlabeled samples of a training batch to capture underlying ...

Oct 6, 2020 · Bibliographic details on Semi-Supervised Learning via Compact Latent Space Clustering.