data subset selection

Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training ACL 2026 Quilt: Robust Data Segment Selection against Concept Drifts AAAI 2024 Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks NeurIPS 2023 INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models EMNLP 2023 Provable Data Subset Selection For Efficient Neural Networks Training ICML 2023 AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning NeurIPS 2022 ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift NeurIPS 2022 Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training EMNLP 2022 PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection AAAI 2022 Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective AISTATS 2021 GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning AAAI 2021 GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training ICML 2021 Training Data Subset Selection for Regression with Controlled Generalization Error ICML 2021 A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems AISTATS 2019 Submodularity in Data Subset Selection and Active Learning ICML 2015 Fast Multi-stage Submodular Maximization ICML 2014 Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints NeurIPS 2013