shaoshitong / G_VBSM_Dataset_Condensation
[CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
☆25Updated last month
Related projects ⓘ
Alternatives and complementary repositories for G_VBSM_Dataset_Condensation
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆94Updated 5 months ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆52Updated 6 months ago
- Efficient Dataset Distillation by Representative Matching☆106Updated 8 months ago
- Elucidated Dataset Condensation (NeurIPS 2024)☆13Updated last month
- ☆15Updated 4 months ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆119Updated this week
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated last year
- Prioritize Alignment in Dataset Distillation☆21Updated last month
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Updated 4 months ago
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆23Updated 2 months ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆28Updated 4 months ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆78Updated 7 months ago
- ☆47Updated 8 months ago
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆22Updated 8 months ago
- The official implement of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning"☆12Updated 2 months ago
- ☆22Updated last year
- ☆81Updated last year
- Distilling Dataset into Generative Models☆52Updated last year
- Instruction Tuning in Continual Learning paradigm☆24Updated 4 months ago
- ☆12Updated last year
- [NeurIPS 2023] Generalized Logit Adjustment☆34Updated 6 months ago
- ☆26Updated last year
- ☆58Updated last year
- ☆23Updated 6 months ago
- Code for our ICML'24 on multimodal dataset distillation☆26Updated 3 weeks ago
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆68Updated 10 months ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆45Updated 2 months ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆104Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆51Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆74Updated 9 months ago