Huage001 / DatasetFactorizationLinks
PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
☆66Updated 2 years ago
Alternatives and similar repositories for DatasetFactorization
Users that are interested in DatasetFactorization are comparing it to the libraries listed below
Sorting:
- Efficient Dataset Distillation by Representative Matching☆112Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆39Updated 2 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆70Updated last year
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆129Updated 8 months ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆101Updated last year
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆72Updated 3 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆94Updated last year
- ☆114Updated 2 years ago
- ☆42Updated last year
- ☆23Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆88Updated last year
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆126Updated 11 months ago
- ☆86Updated 2 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆75Updated 3 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
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆72Updated 4 months ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated 2 years ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆67Updated last year
- Distilling Dataset into Generative Models☆54Updated 2 years ago
- ReSSL: Relational Self-Supervised Learning with Weak Augmentation☆58Updated 3 years ago
- Official PyTorch implementation of PS-KD☆88Updated 2 years ago
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆75Updated 2 years ago
- Code for ECCV 2022 paper “Learning with Recoverable Forgetting”☆21Updated 2 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆93Updated 4 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 2 years ago
- Official PyTorch Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)☆47Updated last year
- [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition☆61Updated 2 years ago