The most relevant work to SLTM is the supervised Neural Topic Model (sNTM) for both classification and regression tasks (Cao et al., 2015), which constructed two hidden layers to generate the ngram topic and document-topic representations.
different from our SLTM using bagof-words methods, sNTM adopted fixed embeddings trained on external resources (Mikolov et al., 2013).