Results for "function calls"

Fundamental recursive relationship defining optimal value functions.

Embedding signals to prove model ownership.

Detecting unauthorized model outputs or data leaks.

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

GNN framework where nodes iteratively exchange and aggregate messages from neighbors.

Probabilistic energy-based neural network with hidden variables.

Simplified Boltzmann Machine with bipartite structure.

Graphical model expressing factorization of a probability distribution.

Generative model that learns to reverse a gradual noise process.

Diffusion model trained to remove noise step by step.

Controls amount of noise added at each diffusion step.

Generator produces limited variety of outputs.

Two-network setup where generator fools a discriminator.

Assigning category labels to images.

Pixel-wise classification of image regions.

Joint vision-language model aligning images and text.

Persistent directional movement over time.

Running predictions on large datasets periodically.

Low-latency prediction per request.

Incrementally deploying new models to reduce risk.

Maintaining two environments for instant rollback.

Centralized repository for curated features.

Using production outcomes to improve models.

Scaling law optimizing compute vs data.

Measure of vector magnitude; used in regularization and optimization.

Sensitivity of a function to input perturbations.

Variable whose values depend on chance.

Updated belief after observing data.

Approximating expectations via random sampling.

Restricting updates to safe regions.