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 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)☆28Updated 10 months ago
- ☆29Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆112Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated last year
- ☆36Updated last year
- ☆86Updated 2 years ago
- Code for coreset selection methods☆239Updated 2 years ago
- ☆67Updated 2 years ago
- Prioritize Alignment in Dataset Distillation☆20Updated 8 months ago
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆193Updated 2 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆73Updated 6 months ago
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆84Updated last year
- IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models☆59Updated last year
- ☆59Updated 7 months ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆129Updated 9 months ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 9 months ago
- PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022☆86Updated last year
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆145Updated last year
- ☆16Updated 11 months ago
- Elucidated Dataset Condensation (NeurIPS 2024)☆21Updated 10 months ago
- [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions☆27Updated 6 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆88Updated 9 months ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆62Updated 2 years ago
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆80Updated last year
- Code for our ICML'24 on multimodal dataset distillation☆38Updated 10 months ago
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆16Updated 6 months ago