Awesome coreset/core-set/subset/sample selection works.
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Updated
Jun 30, 2024
Awesome coreset/core-set/subset/sample selection works.
Fast and memory-efficient clustering + coreset construction, including fast distance kernels for Bregman and f-divergences.
(CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
[ICML 2021] "Efficient Lottery Ticket Finding: Less Data is More" by Zhenyu Zhang*, Xuxi Chen*, Tianlong Chen*, Zhangyang Wang
Online Coreset Selection for Rehearsal-based Continual Learning, ICLR 2022
Bayesian Coresets Construction with Accelerated Iterative Hard Thresholding (A-IHT).
Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning
Official implementation of paper "SEED: Targeted Data Selection by Weighted Independent Set".
DataCull is a modular, light-weight data pruning library containing many dataset pruning (coreset selection) algorithm including the official Implementation of the paper, titled, RCAP: Robust, Class-Aware, Probab ilistic Dynamic Dataset Pruning
An implementation of the algorithms from the camera-ready version of the paper "Coresets for Decision Trees of Signals" (NeurIPS'2021) by Ibrahim Jubran, Ernesto Evgeniy Sanches Shayda, Ilan Newman, and Dan Feldman.
A collection of homework assignments from the Big Data course from Haifa University
Coreset for Individual Fairness
Coresets for scalable robust pseudo-Bayesian inference
A KG summarization technique based on Coresets.
Data Mining course at ETH Zürich.
CCVFM (NeurIPS 2026): replace the Gaussian noise source of hierarchical flow matching with a closed-form coreset surrogate, so the network only learns a small correction. Few-step generation on MNIST, CIFAR-10, ImageNet-32 and CelebA-HQ.
The final project of the course "Sketching Methods in Data Analysis", given at Tel-Aviv University at Fall 2019
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