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Filling gaps in trustworthy development of AI., , , , , , , , , and 2 other author(s). CoRR, (2021)Hidden Incentives for Auto-Induced Distributional Shift., , and . CoRR, (2020)Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics., , , , and . CoRR, (2022)Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims., , , , , , , , , and 49 other author(s). CoRR, (2020)Tackling Climate Change with Machine Learning, , , , , , , , , and 12 other author(s). ACM Comput. Surv., (February 2022)Extremeweather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events, , , , , and . Advances in neural information processing systems, (2017)Managing AI Risks in an Era of Rapid Progress., , , , , , , , , and 14 other author(s). CoRR, (2023)Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics., , , , and . ICLR, OpenReview.net, (2023)Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations., , , , , , , , , and . ICLR (Poster), OpenReview.net, (2017)Methods, Applications, and Directions of Learning-to-Rank in NLP Research., , , and . NAACL-HLT (Findings), page 1900-1917. Association for Computational Linguistics, (2024)