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The inverse fast multipole method: using a fast approximate direct solver as a preconditioner for dense linear systems., , и . CoRR, (2015)DataComp-LM: In search of the next generation of training sets for language models., , , , , , , , , и 49 other автор(ы). CoRR, (2024)MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training., , , , и . CoRR, (2023)Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement., , , , , , и . ICCV, стр. 16986-16997. IEEE, (2023)MUSCLE: A Model Update Strategy for Compatible LLM Evolution., , , , , , и . CoRR, (2024)FastFill: Efficient Compatible Model Update., , , , и . ICLR, OpenReview.net, (2023)CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement., , , , , , , , , и . Trans. Mach. Learn. Res., (2024)Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models., , , , , , и . ICML, OpenReview.net, (2024)SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding., , , , , , , , и . CoRR, (2023)Forward Compatible Training for Large-Scale Embedding Retrieval Systems., , , , и . CVPR, стр. 19364-19373. IEEE, (2022)