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Training Classifiers with Natural Language Explanations.

, , , , , and . ACL (1), page 1884-1895. Association for Computational Linguistics, (2018)

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Training Classifiers with Natural Language Explanations., , , , , and . ACL (1), page 1884-1895. Association for Computational Linguistics, (2018)Lower Quantity, Higher Quality: Auditing News Content and User Perceptions on Twitter/X Algorithmic versus Chronological Timelines., , , and . CoRR, (2024)Exoshuffle: An Extensible Shuffle Architecture., , , , , , , , , and . SIGCOMM, page 564-577. ACM, (2023)Towards a Distributed OS for Data-Intensive Cloud Applications. University of California, Berkeley, USA, (2023)Verifying a high-performance crash-safe file system using a tree specification., , , , , , , and . SOSP, page 270-286. ACM, (2017)The power of foregone payoffs: a mousetracking study., , , and . BQGT, page 59:1. ACM, (2010)Computing minimal surfaces with differential forms., and . ACM Trans. Graph., 40 (4): 113:1-113:14 (2021)Practical Volume-Based Attacks on Encrypted Databases., , , and . IACR Cryptology ePrint Archive, (2019)Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems., , , , , , , and . SIGCOMM, page 641-656. ACM, (2021)MotherDuck: DuckDB in the cloud and in the client., , , , , , , , , and 11 other author(s). CIDR, www.cidrdb.org, (2024)