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most citedAraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization

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cs.CL2021

Challenging the Semi-Supervised VAE Framework for Text Classification

Ghazi Felhi, Joseph Le Roux, Djamé Seddah

Semi-Supervised Variational Autoencoders (SSVAEs) are widely used models for data efficient learning. In this paper, we question the adequacy of the standard design of sequence SSV…