[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 last year
Alternatives and similar repositories for ProgressiveDD
Users that are interested in ProgressiveDD are comparing it to the libraries listed below
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)☆15Apr 18, 2024Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆81Feb 24, 2025Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆106May 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
- A new simple method for dataset distillation called Randomized Truncated Backpropagation Through Time (RaT-BPTT)☆13Apr 21, 2024Updated last year
- ☆29Jun 12, 2023Updated 2 years ago
- ☆12May 6, 2022Updated 3 years ago
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆31May 7, 2024Updated last year
- ☆17Mar 23, 2025Updated last year
- ☆14Feb 26, 2025Updated last year
- Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation (CVPR24)☆11Jun 16, 2024Updated last year
- ☆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
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Oct 9, 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
- 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
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆104Mar 22, 2024Updated 2 years ago
- You Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)☆15Nov 18, 2023Updated 2 years ago
- Implementation of two legged robots controller. One bipedal (ATLAS) using the inverted pendulum model as well as a quadruped robot. For t…☆14May 24, 2023Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆114Feb 28, 2024Updated 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
- ☆23May 28, 2025Updated 9 months ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Jun 20, 2024Updated last year