Results for "noise schedule"
Noise Schedule
Advanced
Controls amount of noise added at each diffusion step.
Overfitting
Intermediate
When a model fits noise/idiosyncrasies of training data and performs poorly on unseen data.
Data Augmentation
Intermediate
Expanding training data via transformations (flips, noise, paraphrases) to improve robustness.
Rademacher Complexity
Intermediate
Measures a model’s ability to fit random noise; used to bound generalization error.
Diffusion Model
Advanced
Generative model that learns to reverse a gradual noise process.
Denoising Diffusion Probabilistic Model
Advanced
Diffusion model trained to remove noise step by step.
Learning Rate Schedule
Intermediate
Adjusting learning rate over training to improve convergence.
Gradient Noise
Intermediate
Variability introduced by minibatch sampling during SGD.