Abstract: Low-rank decomposition (LRD) and pruning-based methodologies are usually applied to compress neural networks. When targeting a large compression ratio in one shot, LRD-based methods such as ...

In this paper, we study the problem of expanding a set of given seed entities into a more complete set by discovering other entities that also belong to the same concept set. A typical example is to ...

San Francisco, CA, Dec. 11, 2025 (GLOBE NEWSWIRE) -- UX UI Exchange, a leading publication dedicated to product design, human-centered innovation, and the intersection of technology and user ...

Back in 2021, Hannah’s love of all things nerdy collided with her passion for writing — and she hasn’t stopped since. She covers pop culture news, writes reviews, and conducts interviews on just about ...

(MENAFN- GlobeNewsWire - Nasdaq) San Francisco, CA, Dec. 11, 2025 (GLOBE NEWSWIRE) -- UX UI Exchange, a leading publication dedicated to product design, human-centered innovation, and the intersection ...

We propose a novel neural attention architecture to tackle machine comprehension tasks, such as answering Cloze-style queries with respect to a document. Unlike previous models, we do not collapse the ...

Abstract: This paper is the first to consider the optimization of a microstrip modal filter (MF) using three metaheuristic global optimization algorithms based on deterministic and probabilistic ...