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On Random Weights and Unsupervised Feature Learning., , , , , and . ICML, page 1089-1096. Omnipress, (2011)Understanding Black-box Predictions via Influence Functions., and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1885-1894. PMLR, (2017)Concept Bottleneck Models., , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5338-5348. PMLR, (2020)Out-of-Domain Robustness via Targeted Augmentations., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 10800-10834. PMLR, (2023)Reliable, Adaptable, and Attributable Language Models with Retrieval., , , , , , and . CoRR, (2024)Improving Domain Generalization with Domain Relations., , , , , and . ICLR, OpenReview.net, (2024)The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better., , , , , , and . CoRR, (2024)The Generative AI Paradox: "What It Can Create, It May Not Understand"., , , , , , , , , and 4 other author(s). ICLR, OpenReview.net, (2024)Inferring Multidimensional Rates of Aging from Cross-Sectional Data., , , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 97-107. PMLR, (2019)Just Train Twice: Improving Group Robustness without Training Group Information., , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 6781-6792. PMLR, (2021)