deeplearning-wisc / dream-oodLinks
source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
☆72Updated 9 months ago
Alternatives and similar repositories for dream-ood
Users that are interested in dream-ood are comparing it to the libraries listed below
Sorting:
- Augmenting with Language-guided Image Augmentation (ALIA)☆80Updated 2 years ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆48Updated 2 years ago
- ☆114Updated 2 years ago
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆96Updated 2 years ago
- ☆65Updated last year
- ☆42Updated 2 years ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆80Updated last year
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆109Updated 2 years ago
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆46Updated last year
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆69Updated 2 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 3 years ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆136Updated last year
- Official implementation for 'Class-Balancing Diffusion Models'☆56Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆104Updated last year
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆51Updated 2 years ago
- [ICLR 2024] Test-Time RL with CLIP Feedback for Vision-Language Models.☆98Updated 3 months ago
- Create generated datasets and train robust classifiers☆36Updated 2 years ago
- ☆63Updated last year
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆23Updated last year
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning☆34Updated last year
- Respect to the input tensor instead of paramters of NN☆21Updated 3 years ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆87Updated 2 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆81Updated 11 months ago
- Is synthetic data from generative models ready for image recognition?☆187Updated 2 years ago
- [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching☆78Updated 2 years ago
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆42Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆33Updated last year
- Compress conventional Vision-Language Pre-training data☆53Updated 2 years ago