Abstract: Domain generalization-based methods perform cross-domain fault diagnosis by learning fault-discriminative and domain-invariant diagnostic ... attention-guided multi-scale feature extractor ...

This study proposes a novel domain generalization method to mitigate this ... according to each cycle iteration during training; 3) The feature extractor is trained to learn domain-invariant features ...

On unseen domains, TimeCraft also demonstrate best generalization ... the dilemma of limited domain-specific text data to guide generation. This lack of data restricts the ability to specify desired ...

could allow domain-specific searches to help identify suitable officers for mission mode and other targeted government projects, while ensuring that access to such features remains appropriately ...

Experts from Informatica joined DBTA's webinar, Emerging Data Management Foundations for AI Agent Success, to assess the implications that adopting AI agents has on data infrastructure, offering best ...

In fact it is a challenging task to dance to the rhythm of drums. Devil dancing has always been a male domain, and it is challenging because I have to change one by one the eighteen demon masks du ...

This is a pytorch implementation of the following paper [arXiv]: This codebase is mainly based on [DomainBed], with following modifications: Introduces a flexible framework for generating synthetic ...