Results for "latent ability"

Diffusion performed in latent space for efficiency.

Modeling environment evolution in latent space.

Scalar summary of ROC; measures ranking ability, not calibration.

Ability to replicate results given same code/data; harder in distributed training and nondeterministic ops.

A measure of a model class’s expressive capacity based on its ability to shatter datasets.

Measures a model’s ability to fit random noise; used to bound generalization error.

Ability to inspect and verify AI decisions.

Ability to correctly detect disease.

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

Probabilistic model for sequential data with latent states.

Model that compresses input into latent space and reconstructs it.

Autoencoder using probabilistic latent variables and KL regularization.

The internal space where learned representations live; operations here often correlate with semantics or generative factors.