Results for "distribution distance"

Raw model outputs before converting to probabilities; manipulated during decoding and calibration.

Reduction in uncertainty achieved by observing a variable; used in decision trees and active learning.

A narrow minimum often associated with poorer generalization.

Built-in assumptions guiding learning efficiency and generalization.

Strategy mapping states to actions.

Recovering training data from gradients.

Inferring sensitive features of training data.

Probabilistic energy-based neural network with hidden variables.

Probabilistic graphical model for structured prediction.

Diffusion performed in latent space for efficiency.

Simultaneous Localization and Mapping for robotics.

Monte Carlo method for state estimation.

Identifying abrupt changes in data generation.

Shift in feature distribution over time.

Average value under a distribution.

Approximating expectations via random sampling.

Assigning a role or identity to the model.

Sampling multiple outputs and selecting consensus.

Prompt augmented with retrieved documents.

Randomizing simulation parameters to improve real-world transfer.

Enables external computation or lookup.

Maximum expected loss under normal conditions.

Fast approximation of costly simulations.

No agent can improve without hurting another.

Designing efficient marketplaces.

Inferring the agent’s internal state from noisy sensor data.