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An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation., , , and . CoRR, (2020)Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis., , , and . Proc. VLDB Endow., 16 (11): 2962-2975 (2023)Picket: guarding against corrupted data in tabular data during learning and inference., , and . VLDB J., 31 (5): 927-955 (2022)On Robust Mean Estimation under Coordinate-level Corruption., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 6914-6924. PMLR, (2021)Robust Mean Estimation under Coordinate-level Corruption., , , , and . CoRR, (2020)High-Throughput Vector Similarity Search in Knowledge Graphs., , , , , , , and . Proc. ACM Manag. Data, 1 (2): 197:1-197:25 (2023)Data Integration and Machine Learning: A Natural Synergy., and . KDD, page 3193-3194. ACM, (2019)Marius: Learning Massive Graph Embeddings on a Single Machine., , , , and . OSDI, page 533-549. USENIX Association, (2021)CRUX: Adaptive Querying for Efficient Crowdsourced Data Extraction., , and . CIKM, page 841-850. ACM, (2019)A Formal Framework for Probabilistic Unclean Databases., , , , and . ICDT, volume 127 of LIPIcs, page 6:1-6:18. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)