ML-GSAI / Understanding-GDALinks
Towards understanding modern generative data augmentation techniques.
☆27Updated 2 years ago
Alternatives and similar repositories for Understanding-GDA
Users that are interested in Understanding-GDA are comparing it to the libraries listed below
Sorting:
- Official implementation for 'Class-Balancing Diffusion Models'☆54Updated last year
- Official code implement of Robust Classification via a Single Diffusion Model☆91Updated 6 months ago
- ☆26Updated 2 years ago
- ☆42Updated 2 years ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆70Updated 5 months ago
- The official code release for Unsupervised Out-of-distribution Detection with Diffusion Inpainting (ICML 2023)☆26Updated 2 years ago
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆95Updated last year
- ☆65Updated 11 months ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆74Updated 6 months ago
- Pytorch implementation of our CVPR 23' paper DivClust: Controlling Diversity in Deep Clustering.☆31Updated 2 years ago
- This repo provides a demo for the ICML 2023 paper "Moderately Distributional Exploration for Domain Generalization" on the PACS dataset.☆15Updated 2 years ago
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆13Updated last year
- PDM-based Purifier☆22Updated 10 months ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆39Updated last year
- ☆29Updated last year
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆61Updated last year
- Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"☆51Updated last year
- ☆58Updated 2 years ago
- ☆43Updated 2 years ago
- ☆32Updated 4 years ago
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆25Updated last year
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning☆31Updated last year
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆19Updated 7 months ago
- ☆23Updated last year
- This repository contains the official code for the CVPR 2023 paper ``Adversarial Counterfactual Visual Explanations''☆43Updated 6 months ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- ☆115Updated 2 years ago
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆30Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated last year
- ☆26Updated 2 years ago