uitrbn / IDMLinks
☆27Updated 2 years ago
Alternatives and similar repositories for IDM
Users that are interested in IDM are comparing it to the libraries listed below
Sorting:
- ☆29Updated last year
- ☆14Updated 2 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆74Updated 7 months ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Updated last year
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆21Updated last year
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆30Updated last year
- ☆15Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- Efficient Dataset Distillation by Representative Matching☆112Updated last year
- ☆23Updated last year
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Updated 3 years ago
- ☆67Updated 2 years ago
- ☆87Updated 2 years ago
- ☆14Updated 2 years ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆25Updated last year
- ECCV2024: Adversarial Prompt Tuning for Vision-Language Models☆28Updated 10 months ago
- [CVPR-25🔥] Test-time Counterattacks (TTC) towards adversarial robustness of CLIP☆30Updated 4 months ago
- Code of Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint☆18Updated last year
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆21Updated 2 years ago
- ☆24Updated last year
- [CVPR 2023] Adversarial Robustness via Random Projection Filters☆14Updated 2 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆129Updated 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…☆16Updated last year
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆66Updated 2 years ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆29Updated last year
- ☆58Updated 9 months ago
- Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]☆17Updated last month
- Elucidated Dataset Condensation (NeurIPS 2024)☆21Updated last year