Results for "order information"

Optimization using curvature information; often expensive at scale.

Injects sequence order into Transformers, since attention alone is permutation-invariant.

Matrix of first-order derivatives for vector-valued functions.

Quantifies shared information between random variables.

Measures how much information an observable random variable carries about unknown parameters.

When information from evaluation data improperly influences training, inflating reported performance.

Information that can identify an individual (directly or indirectly); requires careful handling and compliance.

Allows model to attend to information from different subspaces simultaneously.

Encodes positional information via rotation in embedding space.

Neural networks that operate on graph-structured data by propagating information along edges.

Matrix of curvature information.

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

Some agents know more than others.

Early signals disproportionately influence outcomes.