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SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding., , , , , , , , and . CoRR, (2023)TiC-CLIP: Continual Training of CLIP Models., , , , , , , and . ICLR, OpenReview.net, (2024)MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks., , , and . CoRR, (2022)VSE++: Improving Visual-Semantic Embeddings with Hard Negatives., , , and . BMVC, page 12. BMVA Press, (2018)Adaptive Gradient Quantization for Data-Parallel SGD., , , , , and . NeurIPS, (2020)DataComp-LM: In search of the next generation of training sets for language models., , , , , , , , , and 49 other author(s). CoRR, (2024)A Study of Gradient Variance in Deep Learning, , , and . (2020)cite arxiv:2007.04532.FastFill: Efficient Compatible Model Update., , , , and . ICLR, OpenReview.net, (2023)Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models., , , , , , and . ICML, OpenReview.net, (2024)CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement., , , , , , , , , and . Trans. Mach. Learn. Res., (2024)