[ICLR 2024] "Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality" by Xuxi Chen*, Yu Yang*, Zhangyang Wang, Baharan Mirzasoleiman
☆15May 18, 2024Updated 2 years ago
Alternatives and similar repositories for ProgressiveDD
Users that are interested in ProgressiveDD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Jun 28, 2024Updated last year
- Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)☆16Apr 18, 2024Updated 2 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆108May 23, 2024Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆116Oct 18, 2023Updated 2 years ago
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆25Mar 2, 2024Updated 2 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.
- A new simple method for dataset distillation called Randomized Truncated Backpropagation Through Time (RaT-BPTT)☆14Apr 21, 2024Updated 2 years ago
- ☆29Jun 12, 2023Updated 2 years ago
- ☆12May 6, 2022Updated 4 years ago
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆31May 7, 2024Updated 2 years ago
- ☆18Mar 23, 2025Updated last year
- ☆14Feb 26, 2025Updated last year
- ☆10Oct 9, 2022Updated 3 years ago
- ☆10Nov 21, 2023Updated 2 years ago
- The implementation of our IEEE S&P 2024 paper "Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples".☆11Jun 28, 2024Updated 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.
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆27Oct 9, 2024Updated last year
- Code for the CVPR '23 paper, "Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning"☆10Jun 9, 2023Updated 2 years ago
- ☆44Oct 13, 2023Updated 2 years ago
- (AAAI-24) Federated Learning via Input-Output Collaborative Distillation☆11Dec 28, 2023Updated 2 years ago
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆16Nov 18, 2023Updated 2 years ago
- LVI-SAM for easier using (更简单的使用LVI-SAM的方法)☆11Dec 5, 2023Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Jun 20, 2024Updated last year
- This paper is currently under review by IEEE TCSVT, and the diffusion framework of the FedDiff algorithm part will be disclosed.☆14Mar 8, 2024Updated 2 years ago
- ☆13May 31, 2024Updated 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.
- Preview code of ECCV'24 paper "Distill Gold from Massive Ores" (BiLP)☆25Jul 6, 2024Updated last year
- Environments for training quadruped robots in Isaac Orbit with Reinforcement Learning.☆10Mar 16, 2025Updated last year
- ☆15May 28, 2024Updated last year
- Official PyTorch implementation of "The Devil is in the Details: Boosting Guided Depth Super-Resolution via Rethinking Cross-Modal Alignm…☆20Dec 9, 2024Updated last year
- A Docker-Based Federated Learning Framework Design and Deployment for Multi-modal Data Stream Classification☆13Feb 15, 2024Updated 2 years ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆66Jan 21, 2024Updated 2 years ago
- Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"☆441Jul 16, 2024Updated last year
- ☆20Oct 28, 2025Updated 6 months ago
- ☆23Nov 16, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for "APTBench: Benchmarking Agentic Potential of Base LLMs During Pre-Training"☆41Dec 23, 2025Updated 4 months ago
- PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".☆12Mar 13, 2023Updated 3 years ago
- ☆22Jul 11, 2024Updated last year
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆23Oct 30, 2023Updated 2 years ago
- ☆14Oct 7, 2022Updated 3 years ago
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Nov 8, 2023Updated 2 years ago
- This is an official repository for "Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources" (…☆14Oct 26, 2023Updated 2 years ago