zhangxin-xd / Dataset-Pruning-TDDS
The official implement of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" (CVPR 2024)
☆17Updated 7 months ago
Alternatives and similar repositories for Dataset-Pruning-TDDS:
Users that are interested in Dataset-Pruning-TDDS are comparing it to the libraries listed below
- ☆29Updated 2 years ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Updated 6 months ago
- ☆86Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- ☆34Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated 10 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Updated last year
- Elucidated Dataset Condensation (NeurIPS 2024)☆21Updated 6 months ago
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆21Updated 2 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆66Updated last month
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆112Updated last year
- ☆55Updated 3 months ago
- ☆39Updated 2 years ago
- ☆25Updated last year
- ☆63Updated last year
- Code of Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint☆17Updated last year
- IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models☆59Updated last year
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆69Updated last year
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆56Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆33Updated 9 months ago
- Prioritize Alignment in Dataset Distillation☆20Updated 4 months ago
- ☆11Updated last year
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆128Updated 5 months ago
- Paper of out of distribution detection and generalization☆56Updated last year
- ☆16Updated 10 months ago
- Code for our ICML'24 on multimodal dataset distillation☆37Updated 6 months ago
- ☆13Updated last year
- ☆11Updated 2 months ago