Dataset

Learning a function from input-output pairs (labeled data), optimizing performance on predicting outputs for unseen i...

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

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

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

Learning where data arrives sequentially and the model updates continuously, often under changing distributions.

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

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

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