A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances

23 May 2025

Brian B. Moser

Arundhati S. Shanbhag

Papers citing "A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances"

50 / 109 papers shown

Title
VideoCompressa: Data-Efficient Video Understanding via Joint Temporal Compression and Spatial Reconstruction Shaobo Wang Tianle Niu Runkang Yang Deshan Liu Xu He Zichen Wen Conghui He Xuming Hu Linfeng Zhang VGen 154 0 0 24 Nov 2025
Adaptive Data Selection for Multi-Layer Perceptron Training: A Sub-linear Value-Driven Method Xiyang Zhang Chen Liang Haoxuan Qiu Hongzhi Wang 88 0 0 24 Oct 2025
SimBA: Simplifying Benchmark Analysis Using Performance Matrices Alone Nishant Subramani Alfredo Gomez Mona T. Diab 84 0 0 20 Oct 2025
SubZeroCore: A Submodular Approach with Zero Training for Coreset Selection Brian B. Moser Tobias Christian Nauen Arundhati S. Shanbhag Federico Raue Stanislav Frolov Joachim Folz Andreas Dengel 116 0 0 26 Sep 2025
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning Vaidehi Patil Elias Stengel-Eskin Joey Tianyi Zhou MU CLL 309 5 0 20 Feb 2025
Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty Yeseul Cho Baekrok Shin Changmin Kang Chulhee Yun 218 3 0 10 Feb 2025
Rethinking Large-scale Dataset Compression: Shifting Focus From Labels to Images Lingao Xiao Songhua Liu Yang He Xinchao Wang DD 150 5 0 10 Feb 2025
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning Donglin Zhan Leonardo F. Toso James Anderson 443 3 0 04 Feb 2025
BloomCoreset: Fast Coreset Sampling using Bloom Filters for Fine-Grained Self-Supervised Learning Prajwal Singh Gautam Vashishtha Indra Deep Mastan Shanmuganathan Raman 168 1 0 22 Dec 2024
Zero-Shot Coreset Selection via Iterative Subspace Sampling Brent A. Griffin Jacob Marks Jason J. Corso VLM 273 7 0 22 Nov 2024
Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning Brian B. Moser Federico Raue Tobias Christian Nauen Stanislav Frolov Andreas Dengel DD 191 4 0 18 Nov 2024
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data Ahmed Anwar Brian B. Moser Dayananda Herurkar Federico Raue Vinit Hegiste T. Legler Andreas Dengel FedML 155 4 0 08 Aug 2024
In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Ayrton San Joaquin Bin Wang Zhengyuan Liu Nicholas Asher Brian Lim Philippe Muller Nancy Chen 221 7 0 07 Aug 2024
D $^4$ M: Dataset Distillation via Disentangled Diffusion Model Duo Su Junjie Hou Weizhi Gao Yingjie Tian Bowen Tang DD 233 48 0 21 Jul 2024
Code Less, Align More: Efficient LLM Fine-tuning for Code Generation with Data Pruning Yun-Da Tsai Mingjie Liu Haoxing Ren SyDa 237 23 0 06 Jul 2024
Coreset Selection for Object Detection Hojun Lee Suyoung Kim Junhoo Lee Jaeyoung Yoo Nojun Kwak 183 15 0 14 Apr 2024
A Study in Dataset Pruning for Image Super-Resolution Brian B. Moser Federico Raue Andreas Dengel SupR 262 11 0 25 Mar 2024
Unlocking Dataset Distillation with Diffusion Models Brian B. Moser Federico Raue Sebastián M. Palacio Stanislav Frolov Andreas Dengel DD 494 22 0 06 Mar 2024
Gradient Coreset for Federated LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 D. Sivasubramanian Lokesh Nagalapatti Rishabh K. Iyer Ganesh Ramakrishnan FedML 152 7 0 13 Jan 2024
Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy Xiangtao Kong Chao Dong Lei Zhang CLL 253 40 0 07 Jan 2024
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance ConstraintsInternational Conference on Machine Learning (ICML), 2023 Xiaobo Xia Jiale Liu Shaokun Zhang Qingyun Wu Hongxin Wei Tongliang Liu 222 15 0 15 Nov 2023
LLMaAA: Making Large Language Models as Active AnnotatorsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Ruoyu Zhang Yanzeng Li Yongliang Ma Ming Zhou Lei Zou 293 105 0 30 Oct 2023
You Only Condense Once: Two Rules for Pruning Condensed DatasetsNeural Information Processing Systems (NeurIPS), 2023 Yang He Lingao Xiao Qiufeng Wang 183 23 0 21 Oct 2023
ASP: Automatic Selection of Proxy dataset for efficient AutoML Peng Yao Chao Liao Jiyuan Jia Jianchao Tan Bin Chen Chengru Song Chen Zhang 153 5 0 17 Oct 2023
Coreset selection can accelerate quantum machine learning models with provable generalizationPhysical Review Applied (Phys. Rev. Appl.), 2023 Yiming Huang Huiyuan Wang Yuxuan Du Xiao Yuan 215 6 0 19 Sep 2023
Dynamic Attention-Guided Diffusion for Image Super-ResolutionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Brian B. Moser Stanislav Frolov Federico Raue Sebastián M. Palacio Andreas Dengel DiffM 294 9 0 15 Aug 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New PerspectiveNeural Information Processing Systems (NeurIPS), 2023 Zeyuan Yin Eric P. Xing Zhiqiang Shen DD 327 116 0 22 Jun 2023
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks Jean-Michel Attendu Jean-Philippe Corbeil 180 19 0 05 Jun 2023
Near-Optimal Quantum Coreset Construction Algorithms for ClusteringInternational Conference on Machine Learning (ICML), 2023 Yecheng Xue Xiaoyu Chen Tongyang Li S. Jiang 212 5 0 05 Jun 2023
Towards Sustainable Learning: Coresets for Data-efficient Deep LearningInternational Conference on Machine Learning (ICML), 2023 Yu Yang Hao Kang Baharan Mirzasoleiman 205 48 0 02 Jun 2023
Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement LearningFrontiers in Neurorobotics (FN), 2023 Muhammad Burhan Hafez Tilman Immisch Tom Weber S. Wermter CLL 188 11 0 03 May 2023
Generalizing Dataset Distillation via Deep Generative PriorComputer Vision and Pattern Recognition (CVPR), 2023 George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu DD 315 130 0 02 May 2023
Exploring the Limits of Deep Image Clustering using Pretrained ModelsBritish Machine Vision Conference (BMVC), 2023 Tim Kaiser Félix D. P. Michels Hamza Kalisch M. Kollmann VLM 226 40 0 31 Mar 2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised LearningComputer Vision and Pattern Recognition (CVPR), 2023 Sungnyun Kim Sangmin Bae Se-Young Yun 301 14 0 20 Mar 2023
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective Animesh Gupta Irtiza Hassan Dilip K. Prasad D. K. Gupta 182 9 0 03 Mar 2023
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imagingInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023 Guangyao Zheng Samson Zhou Vladimir Braverman M. Jacobs V. Parekh OffRL CLL 341 7 0 22 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 689 1,022 0 31 Jan 2023
Probabilistic Bilevel Coreset SelectionInternational Conference on Machine Learning (ICML), 2023 Xiao Zhou Renjie Pi Weizhong Zhang Yong Lin Tong Zhang NoLa 254 35 0 24 Jan 2023
Reproducible scaling laws for contrastive language-image learningComputer Vision and Pattern Recognition (CVPR), 2022 Mehdi Cherti Romain Beaumont Ross Wightman Mitchell Wortsman Gabriel Ilharco Cade Gordon Christoph Schuhmann Ludwig Schmidt J. Jitsev VLM CLIP 349 1,110 0 14 Dec 2022
Coverage-centric Coreset Selection for High Pruning RatesInternational Conference on Learning Representations (ICLR), 2022 Haizhong Zheng Rui Liu Fan Lai Atul Prakash 228 84 0 28 Oct 2022
Scaling Laws for Reward Model OveroptimizationInternational Conference on Machine Learning (ICML), 2022 Leo Gao John Schulman Jacob Hilton ALM 277 745 0 19 Oct 2022
Deep Clustering: A Comprehensive SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Yazhou Ren Jingyu Pu Zhimeng Yang Jie Xu Guofeng Li X. Pu Philip S. Yu Lifang He HAI 230 171 0 09 Oct 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Linxin Song Jieyu Zhang Tianxiang Yang M. Goto 199 12 0 06 Oct 2022
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance ReductionInternational Conference on Machine Learning (ICML), 2022 Jianyi Zhang Ang Li Minxue Tang Jingwei Sun Xiang Chen Fan Zhang Chang Chen Yiran Chen Xue Yang FedML 122 69 0 30 Sep 2022
Beyond neural scaling laws: beating power law scaling via data pruningNeural Information Processing Systems (NeurIPS), 2022 Ben Sorscher Robert Geirhos Shashank Shekhar Surya Ganguli Ari S. Morcos 1.0K 536 0 29 Jun 2022
Performance analysis of coreset selection for quantum implementation of K-Means clustering algorithm Fanzhe Qu S. Erfani Muhammad Usman 99 6 0 16 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search Shiqing Liu Haoyu Zhang Yaochu Jin 291 53 0 03 Jun 2022
DeepCore: A Comprehensive Library for Coreset Selection in Deep LearningInternational Conference on Database and Expert Systems Applications (DEXA), 2022 Chengcheng Guo B. Zhao Yanbing Bai OOD 333 183 0 18 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 935 8,126 0 13 Apr 2022
Dataset Distillation by Matching Training TrajectoriesComputer Vision and Pattern Recognition (CVPR), 2022 George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 347 488 0 22 Mar 2022