DingfanChen / Private-Set
Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)
☆17Updated last year
Alternatives and similar repositories for Private-Set:
Users that are interested in Private-Set are comparing it to the libraries listed below
- ☆84Updated 2 years ago
- ☆15Updated 8 months ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆108Updated last year
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆20Updated 2 years ago
- ☆37Updated 2 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated last year
- ☆14Updated last year
- ☆22Updated last year
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆15Updated last year
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆46Updated 3 years ago
- ☆29Updated 2 years ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated last year
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆28Updated 2 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated last year
- [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers☆23Updated 6 months ago
- ☆26Updated 9 months ago
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆67Updated 2 years ago
- Respect to the input tensor instead of paramters of NN☆18Updated 2 years ago
- ☆22Updated 2 years ago
- Host CIFAR-10.2 Data Set☆13Updated 3 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆46Updated 2 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated last year
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆22Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆95Updated 8 months ago
- This is a Pytorch implementation of contrastive Learning(CL) baselines.☆13Updated 2 years ago
- Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”☆41Updated 4 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆31Updated 7 months ago