Awesome coreset/core-set/subset/sample selection works.
☆182Jun 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for coreset selection methods☆254Feb 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 3 years ago
- ☆42Sep 21, 2023Updated 2 years ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Oct 9, 2024Updated last year
- ☆41Nov 19, 2022Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- A curated list of awesome papers on dataset distillation and related applications.☆1,930Apr 28, 2026Updated last week
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆139Nov 15, 2024Updated last year
- A Survey of Dataset Refinement for Problems in Computer Vision Datasets☆34Sep 12, 2025Updated 7 months ago
- Code for our ICML'24 on multimodal dataset distillation☆43Oct 11, 2024Updated last year
- Data-efficient Training of Machine Learning Models☆72Dec 7, 2020Updated 5 years ago
- ☆11Dec 20, 2020Updated 5 years ago
- ☆91Jan 22, 2023Updated 3 years ago
- ☆30Apr 12, 2024Updated 2 years ago
- A Survey on Data Selection for Language Models☆256Apr 29, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆16Nov 18, 2023Updated 2 years ago
- Dataset Condensation (ICLR21 and ICML21)☆543Nov 27, 2023Updated 2 years ago
- Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)☆18Aug 14, 2023Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Jun 20, 2024Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆83Feb 24, 2025Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆116Oct 18, 2023Updated 2 years ago
- Data distillation benchmark☆72Jun 13, 2025Updated 10 months ago
- The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" （CVPR …☆21Aug 20, 2024Updated last year
- [ICCV2023] Dataset Quantization☆262Jan 6, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆64Dec 30, 2024Updated last year
- Dataset pruning for ImageNet and LAION-2B.☆80Jul 5, 2024Updated last year
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆42Sep 6, 2024Updated last year
- Self-Supervised Dataset Distillation for Transfer Learning☆18Apr 10, 2024Updated 2 years ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Jun 28, 2024Updated last year
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆31May 31, 2023Updated 2 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Mar 14, 2023Updated 3 years ago
- Alpha version of our data-centric visual benchmark for training data selection☆16Aug 28, 2023Updated 2 years ago
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆14Oct 12, 2023Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Feb 24, 2023Updated 3 years ago
- Lossless Training Speed Up by Unbiased Dynamic Data Pruning☆346Sep 24, 2024Updated last year
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆40Sep 14, 2022Updated 3 years ago
- Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation (CVPR24)☆11Jun 16, 2024Updated last year
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆53Jun 5, 2024Updated last year
- ☆15May 28, 2024Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Mar 25, 2023Updated 3 years ago