kaiwang960112 / CAFELinks
This is a method of dataset condensation, and it has been accepted by CVPR-2022.
☆71Updated 2 years ago
Alternatives and similar repositories for CAFE
Users that are interested in CAFE are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Updated 3 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆77Updated 3 years ago
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- [ICLR 2023 Spotlight] Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors☆39Updated 2 years ago
- Distilling Dataset into Generative Models☆54Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆115Updated 2 years ago
- ☆89Updated 2 years ago
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆68Updated 4 years ago
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆125Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)☆36Updated 3 years ago
- ☆115Updated 2 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆134Updated last year
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆86Updated 2 years ago
- [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition☆61Updated 3 years ago
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆73Updated 3 years ago
- ReSSL: Relational Self-Supervised Learning with Weak Augmentation☆57Updated 4 years ago
- This repository is the official Pytorch implementation of Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Re…☆165Updated 3 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆33Updated last year
- NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise☆61Updated 5 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆105Updated last year
- Repository for OVANet☆85Updated 4 years ago
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆35Updated 2 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 3 years ago
- ☆59Updated 3 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 3 years ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆135Updated 2 years ago
- CIFAR-10-Warehouse: Towards Broad and More Realistic Testbeds in Model Generalization Analysis☆18Updated last year