Soft-Label Dataset Distillation and Text Dataset Distillation
☆74Nov 17, 2022Updated 3 years ago
Alternatives and similar repositories for dataset-distillation
Users that are interested in dataset-distillation 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
- Open-source code for paper "Dataset Distillation"☆826Jun 17, 2025Updated last year
- Implementation of "Dataset Distillation with Attention Labels for fine-tuning BERT" (accepted by ACL2023 main (short))☆23Jan 8, 2024Updated 2 years ago
- ☆41Nov 19, 2022Updated 3 years ago
- Dataset Condensation (ICLR21 and ICML21)☆543Nov 27, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".☆28Feb 10, 2025Updated last year
- ☆91Jan 22, 2023Updated 3 years ago
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Nov 28, 2022Updated 3 years ago
- ☆24Oct 31, 2023Updated 2 years ago
- FedD3: Federated Learning via Decentralized Dataset Distillation☆31Apr 8, 2023Updated 3 years ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Mar 25, 2023Updated 3 years ago
- Bias Benchmark for Natural Language Inference. Code repo for the Findings of NAACL 2022 paper "On Measuring Social Biases in Prompt-Based…☆15Apr 28, 2022Updated 4 years ago
- A codebase for ACL 2023 paper: Mitigating Label Biases for In-context Learning☆10Aug 4, 2023Updated 2 years ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Jun 28, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆442Jul 16, 2024Updated 2 years ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆27Oct 9, 2024Updated last year
- [ NeurIPS '22 ] ∞-AE model's implementation in JAX. Kernel-only method outperforms complicated SoTA models with a closed-form solution an…☆57Jun 8, 2023Updated 3 years ago
- ☆10Oct 23, 2021Updated 4 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆115Oct 18, 2023Updated 2 years ago
- ☆15May 28, 2024Updated 2 years ago
- Prioritize Alignment in Dataset Distillation☆21Dec 3, 2024Updated last year
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Jun 8, 2022Updated 4 years ago
- Distilling Dataset into Generative Models☆54Mar 15, 2023Updated 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.
- Pytorch implementation of ICML-2024 "Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching"☆26Jun 23, 2024Updated 2 years ago
- An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS, 2023.☆12Nov 29, 2023Updated 2 years ago
- ☆18Jun 14, 2024Updated 2 years ago
- Code for SelfAugment☆27Dec 16, 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
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Jun 22, 2022Updated 4 years ago
- Linear Mode Connectivity in Multitask and Continual Learning: https://arxiv.org/abs/2010.04495☆13Oct 12, 2020Updated 5 years ago
- MICCAI2023. "One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation"☆19Jan 24, 2024Updated 2 years ago
- ☆10Oct 10, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Efficient Dataset Distillation by Representative Matching☆114Feb 28, 2024Updated 2 years ago
- ☆24Jan 20, 2021Updated 5 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆108May 23, 2024Updated 2 years ago
- Implementation of FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning☆20Jan 4, 2024Updated 2 years ago
- Code and datasets for the paper "Can Pre-trained Language Models Interpret Similes as Smart as Human?" (ACL 2022)☆14Jan 4, 2023Updated 3 years ago
- Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)☆18Aug 14, 2023Updated 2 years ago
- ☆15Nov 12, 2021Updated 4 years ago