This paper investigates an interesting weakly supervised regression sett...
Pre-trained Language Model (PLM) is nowadays the mainstay of Unsupervise...
Marginal-based methods achieve promising performance in the synthetic da...
Partial Label (PL) learning refers to the task of learning from the part...
Aspect-Based Sentiment Analysis is a fine-grained sentiment analysis tas...
Dataless text classification, i.e., a new paradigm of weakly supervised
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Wasserstein barycenter, built on the theory of optimal transport, provid...
Partial Multi-label Learning (PML) aims to induce the multi-label predic...
Image warping is a necessary step in many multimedia applications such a...
The top word list, i.e., the top-M words with highest marginal probabili...