Results for "probabilistic accuracy"

Reducing numeric precision of weights/activations to speed inference and reduce memory with acceptable accuracy loss.

Probabilistic energy-based neural network with hidden variables.

Probabilistic graphical model for structured prediction.

Probabilistic model for sequential data with latent states.

Autoencoder using probabilistic latent variables and KL regularization.

Fraction of correct predictions; can be misleading on imbalanced datasets.

Diffusion model trained to remove noise step by step.