[2024-06-20]: Disable loading irrelvent packages when training individual models; update the instruction for DCR experiements; fix minor bugs in TabSyn's training script. [2024-05-14]: Add demo code ...
Abstract: Synthetic tabular data generation becomes crucial when real data are limited, expensive to collect, or simply cannot be used due to privacy concerns. However, producing good quality ...
VANCOUVER, BRITISH COLUMBIA / ACCESS Newswire / December 24, 2025 / Goldgroup Mining Inc. (“Goldgroup” or the “Company“) (TSX-V:GGA)(OTC:GGAZF). Further to the Company’s news release dated September ...
Abstract: Federated Learning (FL) has emerged as a potentially powerful privacy-preserving machine learning method-ology, since it avoids exchanging data between participants, but instead exchanges ...
This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...
The study investigates options to support the reverse logistics for wholesalers in a company. This big company, which do not have the name presented in this paper aims to improve the process of ...
Background: Depression significantly impairs adolescent mental health and adaptation, a critical issue for freshmen. Although depression and perceived social support (PSS) are known to be associated, ...
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