Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...

This time the stakes are higher in this epic showdown. The winner continues to stay in the race for the SEC title game, while the loser needs lots of external help. This matchup presents a bevy of ...

Who will be the Portland Trail Blazers’ X-factor this season and why? I had the pleasure of representing Blazer’s Edge on the “Locked on Blazers” podcast on Thursday night to discuss that question ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

1 Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong, China 2 Department of Systems Biology, ...

As passwords routinely fail to protect users, multi-factor authentication (MFA) is fast emerging as the new gold standard of cybersecurity. By adding extra layers of protection, MFA is able to block ...

Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled ...