Awesome coreset/core-set/subset/sample selection works.
☆181Jun 30, 2024Updated last year
Alternatives and similar repositories for Awesome-Coreset-Selection
Users that are interested in Awesome-Coreset-Selection are comparing it to the libraries listed below
Sorting:
- Code for coreset selection methods☆255Feb 27, 2023Updated 3 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆58Apr 24, 2023Updated 2 years ago
- ☆41Sep 21, 2023Updated 2 years ago
- ☆40Nov 19, 2022Updated 3 years ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Oct 9, 2024Updated last year
- A curated list of awesome papers on dataset distillation and related applications.☆1,902Feb 26, 2026Updated last week
- A Survey of Dataset Refinement for Problems in Computer Vision Datasets☆34Sep 12, 2025Updated 5 months ago
- ☆91Jan 22, 2023Updated 3 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆136Nov 15, 2024Updated last year
- Code for our ICML'24 on multimodal dataset distillation☆43Oct 11, 2024Updated last year
- A Survey on Data Selection for Language Models☆254Apr 29, 2025Updated 10 months ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Jun 20, 2024Updated last year
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆15Nov 18, 2023Updated 2 years ago
- Dataset Condensation (ICLR21 and ICML21)☆543Nov 27, 2023Updated 2 years ago
- Data-efficient Training of Machine Learning Models☆69Dec 7, 2020Updated 5 years ago
- ☆30Apr 12, 2024Updated last year
- Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)☆17Aug 14, 2023Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆116Oct 18, 2023Updated 2 years ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Jun 28, 2024Updated last year
- Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation (CVPR24)☆11Jun 16, 2024Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆81Feb 24, 2025Updated last year
- [ICCV2023] Dataset Quantization☆263Jan 6, 2024Updated 2 years ago
- The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" （CVPR …☆22Aug 20, 2024Updated last year
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Feb 24, 2023Updated 3 years ago
- ☆63Dec 30, 2024Updated last year
- [ICLR 2024] "Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality" by Xuxi Chen*, Yu Yang*, Zhangyang Wang, Baha…☆15May 18, 2024Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Mar 25, 2023Updated 2 years ago
- Online Coreset Selection for Rehearsal-based Continual Learning, ICLR 2022☆24Oct 19, 2022Updated 3 years ago
- ☆27Dec 15, 2024Updated last year
- ☆17Jun 14, 2024Updated last year
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆14Oct 12, 2023Updated 2 years ago
- Alpha version of our data-centric visual benchmark for training data selection☆16Aug 28, 2023Updated 2 years ago
- Self-Supervised Dataset Distillation for Transfer Learning☆16Apr 10, 2024Updated last year
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Nov 28, 2022Updated 3 years ago
- Preview code of ECCV'24 paper "Distill Gold from Massive Ores" (BiLP)☆25Jul 6, 2024Updated last year
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆138Feb 20, 2025Updated last year
- Towards Sustainable Learning: Coresets for Data-efficient Deep Learning☆13Jul 5, 2023Updated 2 years ago
- (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning☆30Oct 3, 2023Updated 2 years ago
- ☆29Jun 12, 2023Updated 2 years ago