This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
☆22Jun 8, 2022Updated 4 years ago
Alternatives and similar repositories for DCC
Users that are interested in DCC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”☆41Oct 21, 2020Updated 5 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆115Oct 18, 2023Updated 2 years ago
- Code for the CVPR 2020 article "Adversarial Vertex mixup: Toward Better Adversarially Robust Generalization"☆12Jul 13, 2020Updated 5 years ago
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆73Dec 12, 2023Updated 2 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Nov 12, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆41Nov 19, 2022Updated 3 years ago
- ☆28Jun 12, 2023Updated 3 years ago
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆16Nov 18, 2023Updated 2 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆83Feb 24, 2025Updated last year
- ☆91Jan 22, 2023Updated 3 years ago
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆440Jul 16, 2024Updated last year
- Distilling Dataset into Generative Models☆54Mar 15, 2023Updated 3 years ago
- ☆15May 28, 2024Updated 2 years ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Jun 28, 2024Updated 2 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Efficient Dataset Distillation by Representative Matching☆114Feb 28, 2024Updated 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
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Nov 28, 2022Updated 3 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Mar 14, 2023Updated 3 years ago
- Pytorch implementation of our paper accepted by ECCV2022 -- Knowledge Condensation Distillation https://arxiv.org/abs/2207.05409☆30Dec 21, 2022Updated 3 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆37Apr 19, 2023Updated 3 years ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Feb 24, 2023Updated 3 years ago
- [CVPR 2024] "Data Poisoning based Backdoor Attacks to Contrastive Learning": official code implementation.☆16Feb 10, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆17Jun 14, 2024Updated 2 years ago
- [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 2 years ago
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆31May 7, 2024Updated 2 years ago
- A curated list of awesome papers on dataset distillation and related applications.☆1,952Jul 1, 2026Updated last week
- ☆17Aug 13, 2024Updated last year
- An Embarrassingly Simple Backdoor Attack on Self-supervised Learning☆21Jan 24, 2024Updated 2 years ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆103Mar 22, 2024Updated 2 years ago
- ☆16Dec 25, 2025Updated 6 months ago
- Open-source code for paper "Dataset Distillation"☆825Jun 17, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This is the official repository of our NeurIPS 2025 paper "MaxSup: Overcoming Representation Collapse in Label Smoothing"☆22Nov 6, 2025Updated 8 months ago
- ☆17May 19, 2022Updated 4 years ago
- ☆31May 17, 2026Updated last month
- ☆65Dec 30, 2024Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆108May 23, 2024Updated 2 years ago
- Pytorch implementation of our paper accepted by ICLR 2023 -- "Real-time Image Demoireing on Mobile Devices".☆43Apr 10, 2023Updated 3 years ago
- Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters☆10Mar 5, 2024Updated 2 years ago