MIV-XJTU / SPEED
PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.
☆20Updated 9 months ago
Alternatives and similar repositories for SPEED:
Users that are interested in SPEED are comparing it to the libraries listed below
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Updated 6 months ago
- ☆16Updated 10 months ago
- Prioritize Alignment in Dataset Distillation☆20Updated 4 months ago
- Official Implementation of paper "Distilling Long-tailed Datasets"☆11Updated last month
- Elucidated Dataset Condensation (NeurIPS 2024)☆21Updated 6 months ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆33Updated 9 months ago
- Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)☆13Updated last year
- ☆13Updated last year
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆29Updated 7 months ago
- ☆14Updated last year
- ☆16Updated 10 months ago
- Code for our ICML'24 on multimodal dataset distillation☆37Updated 6 months ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆66Updated last month
- ☆28Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- ☆25Updated last year
- ☆55Updated 3 months ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆128Updated 5 months ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆90Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated 10 months ago
- [ICLR 2024] "Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality" by Xuxi Chen*, Yu Yang*, Zhangyang Wang, Baha…☆12Updated 11 months ago
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆24Updated last year
- [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.☆68Updated last year
- ☆16Updated 5 months ago
- ☆23Updated last year
- Instruction Tuning in Continual Learning paradigm☆47Updated 2 months ago
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆39Updated 11 months ago
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆27Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆91Updated last year