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WHOSe Heritage: Classification of UNESCO World Heritage Statements of Öutstanding Universal Value" with Soft Labels.

, , , and . EMNLP (Findings), page 366-384. Association for Computational Linguistics, (2021)

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A Survey on Low-Resource Neural Machine Translation., , , , and . IJCAI, page 4636-4643. ijcai.org, (2021)Lightspeech: Lightweight and Fast Text to Speech with Neural Architecture Search., , , , , , , and . ICASSP, page 5699-5703. IEEE, (2021)Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine., , , , , , , , , and 8 other author(s). CoRR, (2023)Microsoft Research Asia's Systems for WMT19., , , , , , , , , and 5 other author(s). WMT (2), page 424-433. Association for Computational Linguistics, (2019)Analyzing and Mitigating Interference in Neural Architecture Search., , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 24646-24662. PMLR, (2022)WHOSe Heritage: Classification of UNESCO World Heritage Statements of Öutstanding Universal Value" with Soft Labels., , , and . EMNLP (Findings), page 366-384. Association for Computational Linguistics, (2021)Neural Architecture Optimization., , , , and . NeurIPS, page 7827-7838. (2018)FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition., , , , , , , , , and . NeurIPS, page 21708-21719. (2021)NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search., , , , , , and . KDD, page 1933-1943. ACM, (2021)Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target., , , , , , , and . CHIL, volume 209 of Proceedings of Machine Learning Research, page 100-116. PMLR, (2023)