u-net denoiser, generative models
Architecture for diffusion models.
33 technical terms and definitions
Architecture for diffusion models.
Even more efficient than HEPA removes 99.999% of particles.
Tiled upscaling method.
Sample along reaction coordinate.
Breakdown of uncertainty sources.
Uncertainty quantification estimates model confidence in predictions.
Estimate confidence in predictions.
Abstain based on uncertainty estimates.
Uncertainty quantification distinguishes epistemic (model) from aleatoric (data) uncertainty. Know when to abstain.
Remove common examples.
Insufficient training.
Each token only attends to previous tokens (GPT-style).
Models handling multiple vision-language tasks.
Unified predictor-corrector sampler.
Inputs that reliably cause unwanted behavior.
Handle target classes not in source.
Recurrent depth with adaptive computation.
Switch between widths seamlessly.
Remove specific knowledge or capabilities from a trained model.
Unobserved components models represent time series as sums of latent stochastic components like trends cycles and seasonal patterns.
Emergency repairs.
Unscented Kalman Filter propagates uncertainty through nonlinear transformations using deterministic sampling.
Unscheduled maintenance responds to unexpected equipment problems.
Unstructured pruning removes individual weights creating sparse networks.
Remove individual weights creating sparse tensors.
Adapt without target labels.
Use data more than once.
Update functions in GNNs combine aggregated neighbor information with node features to compute new representations.
Increase image resolution.
Ultra-Pure Water exceeds deionized water specifications with sub-ppb impurity levels and filtered particles for critical semiconductor processes.
Maintain after set amount of use.
UV disinfection uses ultraviolet light to destroy microorganisms in water without chemical addition.
UV mapping parameterizes 3D surfaces for texture coordinate assignment.