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Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation., , , , , and . CoRR, (2023)See, Say, and Segment: Teaching LMMs to Overcome False Premises., , , , , , , and . CoRR, (2023)NBDT: Neural-Backed Decision Trees., , , , , , , , and . CoRR, (2020)Deep Mixture of Experts via Shallow Embedding., , , , , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 552-562. AUAI Press, (2019)HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline., , , , , , and . SoCC, page 61-73. ACM, (2019)Elastic Hyperparameter Tuning on the Cloud., , , , , , and . SoCC, page 33-46. ACM, (2021)RubberBand: cloud-based hyperparameter tuning., , , , , , , and . EuroSys, page 327-342. ACM, (2021)Describing Differences in Image Sets with Natural Language., , , , , , , and . CoRR, (2023)Using Language to Extend to Unseen Domains., , , , , , , and . CoRR, (2022)Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence., , , , and . CoRR, (2023)