noise multiplier, training techniques
Noise multiplier scales added noise controlling privacy-utility tradeoff.
122 technical terms and definitions
Noise multiplier scales added noise controlling privacy-utility tradeoff.
Variance schedule for diffusion.
Train robust models despite label errors.
Noisy student training iteratively generates pseudo-labels with a teacher model and trains larger student models with added noise.
Compute long-range dependencies.
Nonparametric Hawkes processes learn excitation kernels from data without assuming parametric forms.
Condition on surface normals.
Ranking quality metric.
Invertible transformations for density estimation.
Assess if invention is novel.
Dedicated chip for neural network inference.
NPUs are neural processing units in phones/laptops. Hardware acceleration for on-device inference.
Non-dominated Sorting Genetic Algorithm II is a multi-objective evolutionary algorithm commonly used for Pareto-optimal architecture discovery in NAS.
NSGA-Net applies multi-objective evolutionary algorithm to discover Pareto-optimal neural architectures.
Neural Tangent Kernel-based scaling.
Scale positional embeddings for longer context.
Nucleus sampling threshold controls diversity by probability mass cutoff.
Null-text inversion optimizes unconditional embeddings for accurate real image editing.
Find embeddings for specific images.
Sampling iterations tradeoff.
Nyströmformer approximates attention matrix through Nyström method.
Approximate attention using Nyström method.