yu-rp / Distribution-Shift-Iverson
☆42Updated last year
Alternatives and similar repositories for Distribution-Shift-Iverson:
Users that are interested in Distribution-Shift-Iverson are comparing it to the libraries listed below
- Towards Unified and Effective Domain Generalization☆30Updated last year
- Code for CVPR 2024 Oral "Neural Lineage"☆16Updated 9 months ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆58Updated last year
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆39Updated 10 months ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆77Updated last year
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆20Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆45Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆66Updated 2 months ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆73Updated last year
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆69Updated last year
- LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images☆32Updated last year
- Augmenting with Language-guided Image Augmentation (ALIA)☆75Updated last year
- ☆63Updated last year
- Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment, arXiv 2024 / CVPR 2025☆23Updated 3 weeks ago
- Create generated datasets and train robust classifiers☆33Updated last year
- [CVPRW 2023] Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion☆22Updated last year
- ☆113Updated last year
- ☆33Updated 4 months ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆62Updated 2 months ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆116Updated last year
- PyTorch implementation of paper "StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization" in ICML 2024.☆14Updated 9 months ago
- ☆22Updated 9 months ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆34Updated 7 months ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆65Updated 3 years ago
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning☆25Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆81Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆33Updated 9 months ago