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Scalable Estimation via LSH Samplers (LSS)., and . ICLR (Workshop), OpenReview.net, (2018)Audio watermark attacks: from single to profile attacks., , , and . MM&Sec, page 39-50. ACM, (2005)Training Question Answering Models From Synthetic Data., , , , and . EMNLP (1), page 5811-5826. Association for Computational Linguistics, (2020)Scalable and Sustainable Deep Learning via Randomized Hashing., and . CoRR, (2016)Scalable and Sustainable Deep Learning via Randomized Hashing., and . KDD, page 445-454. ACM, (2017)The Effect of L2 Onset on L2 and L3 learning: The Case of Native Speakers of Burkinabe languages., and . PACLIC, Association for Computational Linguistics, (2018)A Look into the Acquisition of English Motion Event Conflation by Native Speakers of Chinese and Japanese.. PACLIC, page 563-572. Institute for Digital Enhancement of Cognitive Development, Waseda University, (2010)Mutual Information Estimation using LSH Sampling., and . IJCAI, page 2807-2815. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..A New Unbiased and Efficient Class of LSH-Based Samplers and Estimators for Partition Function Computation in Log-Linear Models., and . CoRR, (2017)Compressing Gradient Optimizers via Count-Sketches., , , and . CoRR, (2019)