data-pruning

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pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation

Learning Large-scale Neural Fields via Context Pruned Meta-Learning (NeurIPS 2023)

Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)

Jaehyung Kim et al's ACL 2023 paper on "infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information"

nlp active-learning dpp data-annotation data-centric data-pruning

code for the paper Beyond Neural scaling laws for fast proven robust certification of nearest prototype classifiers

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