conftrace_

data pruning

23 papers

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Also known as

DP

Co-occurring keywords

model compression (3302) influence score (9) data quality (130) training dynamics (118) influence function (143) language model (4599) sample selection (107) training efficiency (60) subset selection (90) efficient computing (781)

Papers

Language Model-Driven Data Pruning Enables Efficient Active Learning EACL 2026
Investigating Data Pruning for Pretraining Biological Foundation Models at Scale AAAI 2026
Disentangling the Roles of Representation and Selection in Data Pruning ACL 2025
Partial Forward Blocking: A Novel Data Pruning Paradigm for Lossless Training Acceleration ICCV 2025
Enhancing Training Data Quality through Influence Scores for Generalizable Classification: A Case Study on Sexism Detection IJCNLP 2025
Scale Efficient Training for Large Datasets CVPR 2025
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization NIPS 2024
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning IJCAI 2024
Dynamic Data Pruning for Automatic Speech Recognition INTERSPEECH 2024
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning ACL 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning NIPS 2024
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NIPS 2024
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data EMNLP 2024
Data Pruning via Moving-one-Sample-out NIPS 2023
Influence Scores at Scale for Efficient Language Data Sampling EMNLP 2023
Making Scalable Meta Learning Practical NIPS 2023
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy NIPS 2023
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information ACL 2023
Data Pruning for Efficient Model Pruning in Neural Machine Translation EMNLP 2023
Large-Scale Training Data Search for Object Re-Identification CVPR 2023
Beyond neural scaling laws: beating power law scaling via data pruning NIPS 2022
Deep Learning on a Data Diet: Finding Important Examples Early in Training NIPS 2021
Efficient Data Point Pruning for One-Class SVM AAAI 2019