What cutmix does: replaces a patch of one image with a patch from another

What denoising score matching does: learns to denoise, which equals learning the score

Denoising score matching learns to remove noise, enhancing signal representation and interpretation

What AdaGrad does: divides learning rate by sqrt of sum of squared gradients

AdaGrad adapts learning rates based on historical gradients, reducing for frequently updated features

What operator fusion does at the compiler level: merges adjacent ops to reduce memory traffic

Operator fusion optimizes code by combining adjacent operations into a single instruction, minimizing memory access

What label smoothing does: replaces one-hot [0,0,1,0] with [0.025, 0.025, 0.925, 0.025]

Label smoothing regularizes models by adjusting target distributions

What database sharding does: splits data across machines by a partition key

Database sharding distributes data across multiple machines using a partition key for scalability and performance

What IS (Inception Score) measures: diversity and quality of generated images

Inception Score quantifies image diversity and generated images' quality