Results for "data distribution"

Logged record of model inputs, outputs, and decisions.

Compromising AI systems via libraries, models, or datasets.

Graphs containing multiple node or edge types with different semantics.

Extension of convolution to graph domains using adjacency structure.

Combining signals from multiple modalities.

Predicting future values from past observations.

Models time evolution via hidden states.

Repeating temporal patterns.

Low-latency prediction per request.

Using production outcomes to improve models.

Increasing model capacity via compute.

Models accessible only via service APIs.

Set of vectors closed under addition and scalar multiplication.

Vector whose direction remains unchanged under linear transformation.

Measures similarity and projection between vectors.

Sensitivity of a function to input perturbations.

Measure of spread around the mean.

Normalized covariance.

Optimization under uncertainty.

Model behaves well during training but not deployment.

Using limited human feedback to guide large models.

Multiple examples included in prompt.

Loss of old knowledge when learning new tasks.

Model relies on irrelevant signals.

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.

Requirement to provide explanations.