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Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations., , , , , , and . CoRR, (2018)NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21., , , and . CoRR, (2021)Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation., , , , and . CoRR, (2022)NVIDIA NeMo's Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21., , , and . WMT@EMNLP, page 197-204. Association for Computational Linguistics, (2021)NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022., , , , , , and . IWSLT@ACL, page 225-231. Association for Computational Linguistics, (2022)Neural Models for Key Phrase Extraction and Question Generation., , , , , and . QA@ACL, page 78-88. Association for Computational Linguistics, (2018)State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations., , , , , , , and . CoRR, (2019)New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations., and . SIGIR, page 1037-1040. ACM, (2018)Deep Complex Networks., , , , , , , , , and . ICLR (Poster), OpenReview.net, (2018)Towards Text Generation with Adversarially Learned Neural Outlines., , , , , and . NeurIPS, page 7562-7574. (2018)