Results for "representation learning"

Detecting unauthorized model outputs or data leaks.

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

Probabilistic graphical model for structured prediction.

Extension of convolution to graph domains using adjacency structure.

Graphical model expressing factorization of a probability distribution.

GNN using attention to weight neighbor contributions dynamically.

Exact likelihood generative models using invertible transforms.

Generating human-like speech from text.

Changing speaker characteristics while preserving content.

Identifying speakers in audio.

Generates audio waveforms from spectrograms.

Model execution path in production.

Maintaining two environments for instant rollback.

Shift in feature distribution over time.

System that independently pursues goals over time.

Number of steps considered in planning.

Simple agent responding directly to inputs.

Increasing model capacity via compute.

Cost to run models in production.

Cost of model training.

Competitive advantage from proprietary models/data.

Models whose weights are publicly available.

Models accessible only via service APIs.

Set of vectors closed under addition and scalar multiplication.

Decomposes a matrix into orthogonal components; used in embeddings and compression.

Measure of vector magnitude; used in regularization and optimization.

Vectors with zero inner product; implies independence.

Number of linearly independent rows or columns.

Sensitivity of a function to input perturbations.

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