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aiDM@ACM SIGMOD Conference 2021: Virtual Event, China

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Rajesh Bordawekar, Yael Amsterdamer, Oded Shmueli, Nesime Tatbul:
aiDM '21: Fourth Workshop in Exploiting AI Techniques for Data Management, Virtual Event, China, 25 June, 2021. ACM 2021, ISBN 978-1-4503-8535-0
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Mayank Mishra, Rekha Singhal:
RUSLI: Real-time Updatable Spline Learned Index. 1-8
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Martin Eppert, Philipp Fent, Thomas Neumann:
A Tailored Regression for Learned Indexes: Logarithmic Error Regression. 9-15
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  - conf/sigmod/PersonnazABFS21
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Aurélien Personnaz, Sihem Amer-Yahia, Laure Berti-Équille, Maximilian Fabricius, Srividya Subramanian:
Balancing Familiarity and Curiosity in Data Exploration with Deep Reinforcement Learning. 16-23
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Michael Günther, Maik Thiele, Julius Gonsior, Wolfgang Lehner:
Pre-Trained Web Table Embeddings for Table Discovery. 24-31
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Lujing Cen, Andreas Kipf, Ryan Marcus, Tim Kraska:
LEA: A Learned Encoding Advisor for Column Stores. 32-35
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Mohan Zhang, Oliver Schulte, Yudong Luo:
Leveraging Approximate Constraints for Localized Data Error Detection. 36-44

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