zhangbq-research / MetaDiffLinks
☆24Updated last year
Alternatives and similar repositories for MetaDiff
Users that are interested in MetaDiff are comparing it to the libraries listed below
Sorting:
- Few-Shot Diffusion Models☆115Updated 3 years ago
- Official code for ProtoDiff☆16Updated 2 years ago
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆33Updated last year
- Repository for the CVPR-2023 paper : StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning☆64Updated 8 months ago
- ☆92Updated 3 years ago
- Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)☆57Updated last year
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆79Updated 2 years ago
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆39Updated 2 years ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆87Updated 2 years ago
- Masked Autoencoder meets GANs☆30Updated 2 years ago
- ☆51Updated 2 years ago
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆49Updated 3 years ago
- Code for CVPR2024 Paper: Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning☆16Updated last year
- Denoising Masked Autoencoders Help Robust Classification.☆67Updated 2 years ago
- Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification☆40Updated 2 years ago
- PyTorch implementation of DDPM Demo and Classifier-Free DDPM Demo. Experiments were conducted on MNIST and Cifar10 datasets.☆27Updated 2 years ago
- [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning☆70Updated 2 years ago
- [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"☆184Updated 2 months ago
- CVPR 2024 Official Repository☆12Updated last year
- The code of paper "Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Lear…☆14Updated 5 months ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆135Updated 2 years ago
- ☆21Updated 3 years ago
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆70Updated 4 years ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆48Updated 2 years ago
- Implementation of "Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning" (AAAI 2024)☆17Updated 2 years ago
- Pytorch implementation of TDPM☆36Updated 2 years ago
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning☆34Updated last year
- Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'☆34Updated 2 years ago
- Official implementation for 'Class-Balancing Diffusion Models'☆56Updated last year
- Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)☆71Updated last year