yu-rp / Distribution-Shift-IversonLinks
☆42Updated 2 years ago
Alternatives and similar repositories for Distribution-Shift-Iverson
Users that are interested in Distribution-Shift-Iverson are comparing it to the libraries listed below
Sorting:
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 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
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 3 years ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆87Updated 2 years ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆48Updated 2 years ago
- ☆114Updated 2 years ago
- Create generated datasets and train robust classifiers☆36Updated 2 years ago
- Towards Unified and Effective Domain Generalization☆32Updated 2 years ago
- Augmenting with Language-guided Image Augmentation (ALIA)☆80Updated 2 years ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆72Updated 9 months ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆33Updated last year
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆79Updated 2 years ago
- 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
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆136Updated last year
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆23Updated last year
- [CVPRW 2023] Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion☆24Updated 2 years ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆68Updated 2 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆81Updated 11 months ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆94Updated 2 years ago
- PyTorch implementation of paper "StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization" in ICML 2024.☆15Updated last year
- The official github repo for "Test-Time Training with Masked Autoencoders"☆92Updated 2 years ago
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning☆34Updated last year
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Updated 3 years ago
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆46Updated last year
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆80Updated last year
- Official implementation for 'Class-Balancing Diffusion Models'☆56Updated last year
- Official implementation of "Towards Distribution-Agnostic Generalized Category Discovery" (NIPS 2023)☆25Updated 2 years ago
- Code for CVPR 2024 Oral "Neural Lineage"☆17Updated last year
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆24Updated 2 years ago