v1v2v3 (latest)

DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning

International Conference on Database and Expert Systems Applications (DEXA), 2022

18 April 2022

Papers citing "DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning"

50 / 63 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
BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation Rachit Saluja Asli Cihangir Ruining Deng Johannes C. Paetzold Fengbei Liu M. Sabuncu MedIm 172 0 0 24 Nov 2025
UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective Furui Xu Shaobo Wang J. Zhang Chenghao Sun Haixiang Tang Linfeng Zhang 80 0 0 17 Nov 2025
A Feedback-Control Framework for Efficient Dataset Collection from In-Vehicle Data Streams Philipp Reis Philipp Rigoll Christian Steinhauser Jacob Langner Eric Sax 109 0 0 05 Nov 2025
Adaptive Data Selection for Multi-Layer Perceptron Training: A Sub-linear Value-Driven Method Xiyang Zhang Chen Liang Haoxuan Qiu Hongzhi Wang 96 0 0 24 Oct 2025
Performance-Efficiency Trade-off for Fashion Image Retrieval Julio Hurtado Haoran Ni Duygu Sap Connor Mattinson Martin Lotz 80 0 0 29 Sep 2025
HyperCore: Coreset Selection under Noise via Hypersphere Models Brian B. Moser Arundhati S. Shanbhag Tobias Christian Nauen Stanislav Frolov Federico Raue Joachim Folz Andreas Dengel 79 0 0 26 Sep 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
Coreset selection based on Intra-class diversity Imran Ashraf Mukhtar Ullah Muhammad Faisal Nadeem Muhammad Nouman Noor 97 0 0 23 Sep 2025
$\emph{FoQuS}: A Forgetting-Quality Coreset Selection Framework for Automatic Modulation Recognition$ \emph{FoQuS}: A Forgetting-Quality Coreset Selection Framework for Automatic Modulation Recognition Yao Lu Chunfeng Sun Dongwei Xu Yun Lin Qi Xuan Guan Gui 75 0 0 10 Sep 2025
Coresets from Trajectories: Selecting Data via Correlation of Loss Differences M. Nagaraj Deepak Ravikumar Kaushik Roy 147 2 0 27 Aug 2025
Two-Stage Framework for Efficient UAV-Based Wildfire Video Analysis with Adaptive Compression and Fire Source Detection Yanbing Bai Rui-Yang Ju Lemeng Zhao Junjie Hu Jianchao Bi Erick Mas Shunichi Koshimura 78 0 0 22 Aug 2025
Dataset Condensation with Color Compensation Huyu Wu Duo Su Junjie Hou Guang Li DD 322 0 0 02 Aug 2025
Decouple before Align: Visual Disentanglement Enhances Prompt TuningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Fei Zhang Tianfei Zhou Jiangchao Yao Ya Zhang Ivor W. Tsang Yanfeng Wang 176 5 0 01 Aug 2025
PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training Anirudh Satheesh Anant Khandelwal Mucong Ding Radu Balan AI4CE 96 0 0 23 Jul 2025
The Impact of Coreset Selection on Spurious Correlations and Group Robustness Amaya Dharmasiri William Yang Polina Kirichenko Lydia Liu Olga Russakovsky 84 1 0 15 Jul 2025
Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection Zhijing Wan Zhixiang Wang Zheng Wang Xin Xu Shiníchi Satoh 225 1 0 17 Jun 2025
Effective Data Pruning through Score Extrapolation Sebastian Schmidt Prasanga Dhungel Christoffer Löffler Bjorn Nieth Stephan Günnemann Leo Schwinn SyDa 250 1 0 10 Jun 2025
Large Language Models are Demonstration Pre-Selectors for Themselves Jiarui Jin Yuwei Wu Haoxuan Li Xiaoting He Weinan Zhang Y. Yang Yong Yu Jun Wang Mengyue Yang 239 2 0 06 Jun 2025
GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems Tiehua Mei Hengrui Chen Peng Yu Jiaqing Liang Deqing Yang 278 0 0 04 Jun 2025
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances Brian B. Moser Arundhati S. Shanbhag Stanislav Frolov Federico Raue Joachim Folz Andreas Dengel 400 7 0 23 May 2025
DD-Ranking: Rethinking the Evaluation of Dataset Distillation Zekai Li Xinhao Zhong Samir Khaki Zhiyuan Liang Yuhao Zhou ... Konstantinos N Plataniotis Zinan Lin Bo Zhao Yang You Kai Wang DD 564 9 0 19 May 2025
Evolution Meets Diffusion: Efficient Neural Architecture Generation Bingye Zhou Caiyang Yu Chenwei Tang DiffM 523 0 0 24 Apr 2025
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity Mustafa Burak Gurbuz Xingyu Zheng C. Dovrolis OOD 516 0 0 07 Apr 2025
A Large-Scale Study on Video Action Dataset Condensation Yang Chen Sheng Guo Bo Zheng Limin Wang DD 380 6 0 13 Mar 2025
PersonaX: A Recommendation Agent Oriented User Modeling Framework for Long Behavior SequenceAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Yunxiao Shi Wujiang Xu Zeqi Zhang Xing Zi Qiang Wu Min Xu 311 9 0 04 Mar 2025
Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options Lakshmi Nair Ian Trase Mark Kim AIFin LRM AI4CE 285 2 0 18 Feb 2025
Does Training with Synthetic Data Truly Protect Privacy?International Conference on Learning Representations (ICLR), 2025 Yunpeng Zhao Jie Zhang 279 4 0 18 Feb 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment Jiayi Shi Yiwei Li Shaoxiong Feng Peiwen Yuan Xiaobei Wang ... Chuyi Tan Boyuan Pan Huan Ren Yao Hu Kan Li ALM 286 0 0 17 Feb 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz Oshani Seneviratne DD 224 0 0 23 Jan 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 687 21 0 31 Dec 2024
TAROT: Targeted Data Selection via Optimal Transport Lan Feng Fan Nie Yuejiang Liu Alexandre Alahi OT 453 2 0 30 Nov 2024
Efficient Alignment of Large Language Models via Data Sampling Amrit Khera Rajat Ghosh Debojyoti Dutta 410 1 0 15 Nov 2024
EXPLORA: Efficient Exemplar Subset Selection for Complex ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Kiran Purohit Venktesh V Raghuram Devalla Krishna Mohan Yerragorla Sourangshu Bhattacharya Avishek Anand LRM 212 4 0 06 Nov 2024
Efficient Biological Data Acquisition through Inference Set DesignInternational Conference on Learning Representations (ICLR), 2024 Ihor Neporozhnii Julien Roy Emmanuel Bengio Jason Hartford 263 2 0 25 Oct 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024 Jinghan Jia Jiancheng Liu Yihua Zhang Parikshit Ram Nathalie Baracaldo Sijia Liu MU 337 15 0 23 Oct 2024
Structural-Entropy-Based Sample Selection for Efficient and Effective LearningInternational Conference on Learning Representations (ICLR), 2024 Tianchi Xie Jiangning Zhu Guozu Ma Minzhi Lin Wei Chen Weikai Yang Shixia Liu 336 2 0 03 Oct 2024
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive NetworksNeural Information Processing Systems (NeurIPS), 2024 Eeshaan Jain Tushar Nandy Gaurav Aggarwal Ashish Tendulkar Rishabh K. Iyer A. De 180 20 0 18 Sep 2024
Diverse Subset Selection via Norm-Based Sampling and Orthogonality Noga Bar Raja Giryes CVBM 310 1 0 03 Jun 2024
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models Zachary Ankner Cody Blakeney Kartik K. Sreenivasan Max Marion Matthew L. Leavitt Mansheej Paul 271 61 0 30 May 2024
Spectral Greedy Coresets for Graph Neural Networks Mucong Ding Yinhan He Jundong Li Furong Huang 178 3 0 27 May 2024
Distilling the Knowledge in Data Pruning Emanuel Ben-Baruch Adam Botach Igor Kviatkovsky Manoj Aggarwal Gérard Medioni 171 2 0 12 Mar 2024
Unlocking Dataset Distillation with Diffusion Models Brian B. Moser Federico Raue Sebastián M. Palacio Stanislav Frolov Andreas Dengel DD 494 23 0 06 Mar 2024
How to Train Data-Efficient LLMs Noveen Sachdeva Benjamin Coleman Wang-Cheng Kang Jianmo Ni Lichan Hong Ed H. Chi James Caverlee Julian McAuley D. Cheng 215 89 0 15 Feb 2024
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality GapInternational Conference on Learning Representations (ICLR), 2024 Christopher Liao Christian So Theodoros Tsiligkaridis Brian Kulis 285 1 0 06 Feb 2024
Sketch and shift: a robust decoder for compressive clustering Ayoub Belhadji Rémi Gribonval 200 2 0 15 Dec 2023
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning A. Maharana Prateek Yadav Mohit Bansal 248 46 0 11 Oct 2023
Exploring Data Redundancy in Real-world Image Classification through Data Selection Zhenyu Tang Shaoting Zhang Xiaosong Wang 145 3 0 25 Jun 2023
Large-scale Dataset Pruning with Dynamic Uncertainty Muyang He Shuo Yang Tiejun Huang Bo Zhao 295 50 0 08 Jun 2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of LearningInternational Conference on Learning Representations (ICLR), 2023 Patrik Okanovic R. Waleffe Vasilis Mageirakos Konstantinos E. Nikolakakis Amin Karbasi Dionysis Kalogerias Nezihe Merve Gürel Theodoros Rekatsinas DD 209 23 0 28 May 2023