A/B Test Advanced Toolkit is an experimental Python library designed for advanced A/B testing analysis. It leverages statistical techniques and machine learning, including variance reduction through ...
Abstract: Parameter-efficient tuning methods such as LoRA could achieve comparable performance to model tuning by tuning a small portion of the parameters. However, substantial computational resources ...
Abstract: Due to the absence of a desirable objective for low-light image enhancement, previous data-driven methods may provide undesirable enhanced results including amplified noise, degraded ...
It should be possible to speed up gathering gradients for multiple classes of the same sequence by re-using the one gradient pass of predicting all classes, rather than doing it separately for every ...