zhangxin-xd / Dataset-Pruning-TDDSLinks
The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" (CVPR 2024)
☆21Updated last year
Alternatives and similar repositories for Dataset-Pruning-TDDS
Users that are interested in Dataset-Pruning-TDDS are comparing it to the libraries listed below
Sorting:
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆29Updated last year
- Prioritize Alignment in Dataset Distillation☆20Updated 10 months ago
- ☆29Updated 2 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated last year
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- ☆87Updated 2 years ago
- [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions☆27Updated 8 months ago
- ☆37Updated 2 years ago
- Elucidated Dataset Condensation (NeurIPS 2024)☆21Updated last year
- IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models☆59Updated last year
- Code for coreset selection methods☆244Updated 2 years ago
- ☆58Updated 9 months ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Updated 2 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆130Updated 11 months ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆74Updated 8 months ago
- ☆68Updated 2 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆87Updated 11 months ago
- ☆16Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated 2 years ago
- ☆21Updated 7 months ago
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- Code for our ICML'24 on multimodal dataset distillation☆40Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- ☆43Updated 2 years ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆98Updated last year
- Distilling Dataset into Generative Models☆54Updated 2 years ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆16Updated 8 months ago
- A PyTorch implementation of Centered Kernel Alignment (CKA) with GPU acceleration.☆52Updated last year
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆88Updated last year