Results for "stochastic regularization"
Sampling
Intermediate
Stochastic generation strategies that trade determinism for diversity; key knobs include temperature and nucleus sampling.
Objective Function
Intermediate
A scalar measure optimized during training, typically expected loss over data, sometimes with regularization terms.
Variational Autoencoder
Advanced
Autoencoder using probabilistic latent variables and KL regularization.
Norm
Advanced
Measure of vector magnitude; used in regularization and optimization.
Stochastic Gradient Descent
Intermediate
A gradient method using random minibatches for efficient training on large datasets.
Stochastic Approximation
Intermediate
Optimization under uncertainty.
Regularization
Intermediate
Techniques that discourage overly complex solutions to improve generalization (reduce overfitting).