shaoshitong / G_VBSM_Dataset_CondensationLinks
[CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
☆29Updated 11 months ago
Alternatives and similar repositories for G_VBSM_Dataset_Condensation
Users that are interested in G_VBSM_Dataset_Condensation are comparing it to the libraries listed below
Sorting:
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆101Updated last year
- Elucidated Dataset Condensation (NeurIPS 2024)☆21Updated 11 months ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆74Updated 6 months ago
- Data distillation benchmark☆68Updated 3 months ago
- ☆16Updated last year
- Efficient Dataset Distillation by Representative Matching☆112Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆98Updated last year
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆129Updated 10 months ago
- Prioritize Alignment in Dataset Distillation☆19Updated 9 months ago
- Code for our ICML'24 on multimodal dataset distillation☆38Updated 11 months ago
- ☆14Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Updated last year
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆35Updated last year
- ☆58Updated 8 months ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- ☆29Updated last year
- Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]☆17Updated last month
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆16Updated 6 months ago
- The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" (CVPR …☆19Updated last year
- Instruction Tuning in Continual Learning paradigm☆58Updated 7 months ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆21Updated last year
- ☆16Updated 10 months ago
- Respect to the input tensor instead of paramters of NN☆21Updated 3 years ago
- ☆29Updated 2 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 2 years ago
- ☆26Updated 2 years ago
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆47Updated 8 months ago
- [NeurIPS 2023] Generalized Logit Adjustment☆38Updated last year
- ☆87Updated 2 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆87Updated 10 months ago