Representation Learning

Intermediate

Automatically learning useful internal features (latent variables) that capture salient structure for downstream tasks.

Full Definition

Automatically learning useful internal features (latent variables) that capture salient structure for downstream tasks.

Keywords

embeddings latent space

Domains

Machine Learning

Related Terms

Embedding narrower than

A continuous vector encoding of an item (word, image, user) such that semantic similarity corresponds to geometric cl...

 Unsupervised Learning related to

Learning structure from unlabeled data, such as discovering groups, compressing representations, or modeling data dis...

 Embedding related to

A continuous vector encoding of an item (word, image, user) such that semantic similarity corresponds to geometric cl...

 Class Imbalance related to

When some classes are rare, requiring reweighting, resampling, or specialized metrics.

 Transfer Learning related to

Reusing knowledge from a source task/domain to improve learning on a target task/domain, typically via pretrained mod...

 Multitask Learning related to

Training one model on multiple tasks simultaneously to improve generalization through shared structure.

 Meta-Learning related to

Methods that learn training procedures or initializations so models can adapt quickly to new tasks with little data.

 Dataset related to

A structured collection of examples used to train/evaluate models; quality, bias, and coverage often dominate outcomes.

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