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SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models., , , and . CoRR, (2024)Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks., , and . CoRR, (2023)On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract)., , , , , and . ICDE, page 1541-1542. IEEE, (2022)Lazier Than Lazy Greedy., , , , and . AAAI, page 1812-1818. AAAI Press, (2015)Distributed Submodular Maximization: Identifying Representative Elements in Massive Data., , , and . NIPS, page 2049-2057. (2013)Coresets for Robust Training of Deep Neural Networks against Noisy Labels., , and . NeurIPS, (2020)Coresets for Data-efficient Training of Machine Learning Models., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 6950-6960. PMLR, (2020)Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 38938-38970. PMLR, (2023)Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity., , , and . CoRR, (2024)Streaming submodular maximization: massive data summarization on the fly., , , and . KDD, page 671-680. ACM, (2014)