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Improving Textual Network Embedding with Global Attention via Optimal Transport.

, , , , , , , , and . ACL (1), page 5193-5202. Association for Computational Linguistics, (2019)

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Topic-Guided Variational Autoencoders for Text Generation., , , , , , , and . CoRR, (2019)MixKD: Towards Efficient Distillation of Large-scale Language Models., , , , , , and . CoRR, (2020)Diffusion Maps for Textual Network Embedding., , , and . NeurIPS, page 7598-7608. (2018)Improving Textual Network Embedding with Global Attention via Optimal Transport., , , , , , , , and . ACL (1), page 5193-5202. Association for Computational Linguistics, (2019)NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing., , , , , , and . ACL (1), page 2041-2050. Association for Computational Linguistics, (2018)Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment., , , and . EMNLP, page 1829-1838. Association for Computational Linguistics, (2018)Improving Sequence-to-Sequence Learning via Optimal Transport., , , , , , , , , and . ICLR (Poster), OpenReview.net, (2019)An End-to-End Generative Architecture for Paraphrase Generation., , , , , , and . EMNLP/IJCNLP (1), page 3130-3140. Association for Computational Linguistics, (2019)Parametric t-Distributed Stochastic Exemplar-Centered Embedding., , and . ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 477-493. Springer, (2018)Deconvolutional Latent-Variable Model for Text Sequence Matching., , , , and . AAAI, page 5438-5445. AAAI Press, (2018)