Results for "full pass through data"

Extension of convolution to graph domains using adjacency structure.

Graphs containing multiple node or edge types with different semantics.

Controls amount of noise added at each diffusion step.

Combining signals from multiple modalities.

Simultaneous Localization and Mapping for robotics.

Predicting future values from past observations.

Models time evolution via hidden states.

Monte Carlo method for state estimation.

Repeating temporal patterns.

Increasing model capacity via compute.

Using production outcomes to improve models.

Set of vectors closed under addition and scalar multiplication.

Vector whose direction remains unchanged under linear transformation.

Sensitivity of a function to input perturbations.

Describes likelihoods of random variable outcomes.

Measure of spread around the mean.

Normalized covariance.

Eliminating variables by integrating over them.

Optimization under uncertainty.

Using limited human feedback to guide large models.

Multiple examples included in prompt.

Prompt augmented with retrieved documents.

Loss of old knowledge when learning new tasks.

European regulation classifying AI systems by risk.

AI used in sensitive domains requiring compliance.

Required descriptions of model behavior and limits.

Requirement to inform users about AI use.

Ability to inspect and verify AI decisions.

Classifying models by impact level.

Requirement to provide explanations.