In multi-label learning, feature selection is a topical issue for addressing high-dimension
data. However, most of existing methods adopt imperfect labels to perform feature selection …

Real-world data often exhibits a long-tailed distribution, in which head classes occupy most
of the data, while tail classes only have very few samples. Models trained on long-tailed …

Abstract Clarification Question G eneration (CQG) aims to automatically generate
clarification questions to avoid misunderstanding. In this paper, we focus on generating …

Compared to the traditional machine reading comprehension (MRC) with limitation to the
information in a passage, knowledge-driven MRC tasks aim to enable models to answer the …

Interfacial thermal resistance (ITR) plays a critical role in the thermal properties of a variety of
material systems. Accurate and reliable ITR prediction is vital in the structure design and …

In this paper, we propose a novel sequence distance measuring algorithm based on optimal
transport (OT) and cross‐attention mechanism. Given a source sequence and a target …

Real-world data usually obeys a long-tailed distribution. Many previous works merely focus
on the superficial phenomenon that tail classes lack samples in long-tailed datasets, yet they …