Introduction to Core-sets: an Updated Survey

18 November 2020

Papers citing "Introduction to Core-sets: an Updated Survey"

36 / 36 papers shown

Title
Data Selection for ERMs Steve Hanneke Shay Moran Alexander Shlimovich Amir Yehudayoff 31 0 0 20 Apr 2025
Ordered Semantically Diverse Sampling for Textual Data A. Tiwari Mukul Singh Ananya Singha Arjun Radhakrishna 31 0 0 12 Mar 2025
Does Training with Synthetic Data Truly Protect Privacy? Yunpeng Zhao Jie Zhang 82 0 0 18 Feb 2025
Decomposed Distribution Matching in Dataset Condensation Sahar Rahimi Malakshan Mohammad Saeed Ebrahimi Saadabadi Ali Dabouei Nasser M. Nasrabadi DD 76 1 0 06 Dec 2024
Theoretically Grounded Pruning of Large Ground Sets for Constrained, Discrete Optimization Ankur Nath Alan Kuhnle 24 0 0 23 Oct 2024
Unsupervised Domain Adaptation Via Data Pruning Andrea Napoli Paul White 36 1 0 18 Sep 2024
Using Low-Discrepancy Points for Data Compression in Machine Learning: An Experimental Comparison Simone Göttlich Jacob Heieck Andreas Neuenkirch 26 0 0 10 Jul 2024
General bounds on the quality of Bayesian coresets Trevor Campbell 61 2 0 20 May 2024
Online Algorithms with Limited Data Retention Nicole Immorlica Brendan Lucier Markus Mobius James Siderius 40 1 0 17 Apr 2024
Settling Time vs. Accuracy Tradeoffs for Clustering Big Data Andrew Draganov David Saulpic Chris Schwiegelshohn 27 5 0 02 Apr 2024
Unknown Domain Inconsistency Minimization for Domain Generalization Seungjae Shin Heesun Bae Byeonghu Na Yoon-Yeong Kim Il-Chul Moon 39 2 0 12 Mar 2024
MIM4DD: Mutual Information Maximization for Dataset Distillation Yuzhang Shang Zhihang Yuan Yan Yan DD 40 14 0 27 Dec 2023
Simple, Scalable and Effective Clustering via One-Dimensional Projections Moses Charikar Monika Henzinger Lunjia Hu Maximilian Vötsch Erik Waingarten 16 2 0 25 Oct 2023
Coreset selection can accelerate quantum machine learning models with provable generalization Yiming Huang Huiyuan Wang Yuxuan Du Xiao Yuan 48 1 0 19 Sep 2023
Anchor Points: Benchmarking Models with Much Fewer Examples Rajan Vivek Kawin Ethayarajh Diyi Yang Douwe Kiela ALM 29 22 0 14 Sep 2023
Composable Core-sets for Diversity Approximation on Multi-Dataset Streams Stephanie Wang Michael Flynn Fangyu Luo 17 0 0 10 Aug 2023
Improved Distribution Matching for Dataset Condensation Ganlong Zhao Guanbin Li Yipeng Qin Yizhou Yu DD 31 80 0 19 Jul 2023
Dataset Distillation Meets Provable Subset Selection M. Tukan Alaa Maalouf Margarita Osadchy DD 39 4 0 16 Jul 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 47 4 0 21 Apr 2023
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations Benjamin Ramtoula Matthew Gadd Paul Newman D. Martini 31 10 0 20 Apr 2023
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective Animesh Gupta Irtiza Hassan Dilip K. Prasad D. K. Gupta 21 2 0 03 Mar 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 53 121 0 17 Jan 2023
Training Data Influence Analysis and Estimation: A Survey Zayd Hammoudeh Daniel Lowd TDI 29 82 0 09 Dec 2022
Adversarial Coreset Selection for Efficient Robust Training H. M. Dolatabadi S. Erfani C. Leckie AAML 8 7 0 13 Sep 2022
$One-pass additive-error subset selection for $\ell_{p}$ subspace approximation$ One-pass additive-error subset selection for $\ell_{p}$ subspace approximation Amit Deshpande Rameshwar Pratap 21 4 0 26 Apr 2022
CAFE: Learning to Condense Dataset by Aligning Features Kai Wang Bo Zhao Xiangyu Peng Zheng Zhu Shuo Yang Shuo Wang Guan Huang Hakan Bilen Xinchao Wang Yang You DD 37 0 0 03 Mar 2022
Submodularity In Machine Learning and Artificial Intelligence J. Bilmes 8 53 0 31 Jan 2022
$$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training$ $\ell_\infty$ -Robustness and Beyond: Unleashing Efficient Adversarial Training H. M. Dolatabadi S. Erfani C. Leckie OOD AAML 16 11 0 01 Dec 2021
A Unified Approach to Coreset Learning Alaa Maalouf Gilad Eini Ben Mussay Dan Feldman Margarita Osadchy DD 11 16 0 04 Nov 2021
Coresets for Time Series Clustering Lingxiao Huang K. Sudhir Nisheeth K. Vishnoi AI4TS 13 18 0 28 Oct 2021
Dimensionality Reduction for Wasserstein Barycenter Zachary Izzo Sandeep Silwal Samson Zhou 31 16 0 18 Oct 2021
Data Summarization via Bilevel Optimization Zalan Borsos Mojmír Mutný Marco Tagliasacchi Andreas Krause 30 8 0 26 Sep 2021
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems Zixiu Wang Yiwen Guo Hu Ding OOD 32 6 0 30 Jun 2021
Adversarial Robustness of Streaming Algorithms through Importance Sampling Vladimir Braverman Avinatan Hassidim Yossi Matias Mariano Schain Sandeep Silwal Samson Zhou AAML OOD 24 38 0 28 Jun 2021
Set Based Stochastic Subsampling Bruno Andreis Seanie Lee A. Nguyen Juho Lee Eunho Yang Sung Ju Hwang BDL 8 0 0 25 Jun 2020
Understanding collections of related datasets using dependent MMD coresets Sinead Williamson Jette Henderson 14 5 0 24 Jun 2020