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Multi-Task Supervised Pretraining for Neural Domain Adaptation., , , , , and . SocialNLP@ACL, page 61-71. Association for Computational Linguistics, (2020)Where Is The Fake? Patch-Wise Supervised Gans For Texture Inpainting., , , and . ICIP, page 568-572. IEEE, (2020)Constrained Local Enhancement of Semantic Features by Content-Based Sparsity., , and . ICMR, page 119-126. ACM, (2016)Deep Multi-class Adversarial Specularity Removal., , , , and . SCIA, volume 11482 of Lecture Notes in Computer Science, page 3-15. Springer, (2019)How to Make a Pizza: Learning a Compositional Layer-Based GAN Model., , , , and . CVPR, page 8002-8011. Computer Vision Foundation / IEEE, (2019)AMECON: Abstract Meta-Concept Features for Text-Illustration., , and . ICMR, page 347-355. ACM, (2017)Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units., , , , and . CoRR, (2021)Exploration de l'apprentissage par transfert pour l'analyse de textes des réseaux sociaux (Exploring neural transfer learning for social media text analysis )., , , , and . PFIA (Articles courts), page 293-302. ATALA, (2019)Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging., , , , and . NAACL-HLT (1), page 4107-4112. Association for Computational Linguistics, (2019)