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Latent Translation: Crossing Modalities by Bridging Generative Models, and . (2019)cite arxiv:1902.08261.Enhanced Network Embeddings via Exploiting Edge Labels., , , , , and . CIKM, page 1579-1582. ACM, (2018)On the Convergent Properties of Word Embedding Methods, , , and . arXiv:1605.03956 cs, (May 2016)arXiv: 1605.03956.Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal Transport., , and . ICCC, page 324-332. Association for Computational Creativity (ACC), (2022)Numerical Modelling of Electron Beam Welding of Pure Niobium with Beam Oscillation: Towards Industry 4.0., , , , , and . ICAC, page 1-6. IEEE, (2021)A Natural Language Interface for Database: Achieving Transfer-learnability Using Adversarial Method for Question Understanding., , , and . ICDE, page 97-108. IEEE, (2020)Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation., , , and . ICCC, page 300-308. Association for Computational Creativity (ACC), (2021)Towards the Automatic Anime Characters Creation with Generative Adversarial Networks., , , , , and . CoRR, (2017)Prediction of Electron Beam Welding Penetration Depth Using Machine Learning-Enhanced Computational Fluid Dynamics Modelling., , , , and . Sensors, 23 (21): 8687 (October 2023)Learning Bilingual Word Embeddings Using Lexical Definitions., , , and . RepL4NLP@ACL, page 142-147. Association for Computational Linguistics, (2019)