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As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation.

, , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 4711-4717. Association for Computational Linguistics, (2021)

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Exploiting Worker Correlation for Label Aggregation in Crowdsourcing., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3886-3895. PMLR, (2019)Sampling Without Compromising Accuracy in Adaptive Data Analysis., , and . ALT, volume 117 of Proceedings of Machine Learning Research, page 297-318. PMLR, (2020)On the Differential Privacy of Bayesian Inference., , and . CoRR, (2015)Principled Graph Matching Algorithms for Integrating Multiple Data Sources., , and . CoRR, (2014)Sub-Merge: Diving Down to the Attribute-Value Level in Statistical Schema Matching., and . AAAI, page 1791-1797. AAAI Press, (2015)Corrigendum to "Shifting: One-inclusion mistake bounds and sample compression" J. Comput. System Sci 75 (1) (2009) 37-59., , and . J. Comput. Syst. Sci., 76 (3-4): 278-280 (2010)Shifting: One-inclusion mistake bounds and sample compression., , and . J. Comput. Syst. Sci., 75 (1): 37-59 (2009)Differential Privacy for Bayesian Inference through Posterior Sampling., , , , and . J. Mach. Learn. Res., (2017)TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness., , , , , , , and . CoRR, (2021)Elephants Do Not Forget: Differential Privacy with State Continuity for Privacy Budget., , , , , and . CCS, page 1909-1923. ACM, (2024)