zhangxin-xd / Dataset-Pruning-TDDSLinks
The official implement of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" (CVPR 2024)
☆19Updated 11 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
Sorting:
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Updated 9 months ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated last year
- ☆86Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆111Updated last year
- ☆29Updated 2 years ago
- Prioritize Alignment in Dataset Distillation☆20Updated 8 months ago
- Code for coreset selection methods☆238Updated 2 years ago
- [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions☆27Updated 5 months ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆129Updated 8 months ago
- ☆35Updated last year
- ☆67Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- ☆58Updated 7 months ago
- IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models☆59Updated last year
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆73Updated 5 months ago
- Code for our ICML'24 on multimodal dataset distillation☆38Updated 9 months ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- ☆16Updated last year
- A PyTorch implementation of Centered Kernel Alignment (CKA) with GPU acceleration.☆51Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆95Updated last year
- Paper of out of distribution detection and generalization☆56Updated last year
- ☆16Updated 10 months ago
- Elucidated Dataset Condensation (NeurIPS 2024)☆21Updated 10 months ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆82Updated 11 months ago
- [TTA-VLM] A Benchmark of Test-Time Adaptation for Vision-Language Models☆14Updated 2 months ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 8 months ago
- Distilling Dataset into Generative Models☆54Updated 2 years ago
- ☆40Updated 2 years ago
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆193Updated 2 years ago