ubc-tea / Local-Superior-Soups
☆15Updated 5 months ago
Alternatives and similar repositories for Local-Superior-Soups
Users that are interested in Local-Superior-Soups are comparing it to the libraries listed below
Sorting:
- The official implementation of paper "Can Textual Gradient Work in Federated Learning?" accepted at ICLR 2025☆15Updated 2 months ago
- The official Pytorch implementation of paper "FedSoup: Improving Generalization and Personalization in Federated Learning via Selective M…☆17Updated last year
- ☆41Updated last year
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆26Updated 6 months ago
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆40Updated 2 months ago
- [CVPR-25🔥] Test-time Counterattacks (TTC) towards adversarial robustness of CLIP☆23Updated 2 months ago
- ☆28Updated 7 months ago
- Evaluate robustness of adaptation methods on large vision-language models☆18Updated last year
- This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).☆37Updated 7 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆48Updated 4 months ago
- ☆95Updated last year
- The official repository of ECCV 2024 paper "Outlier-Aware Test-time Adaptation with Stable Memory Replay"☆18Updated 8 months ago
- Instruction Tuning in Continual Learning paradigm☆47Updated 3 months ago
- ICCV 2023 - AdaptGuard: Defending Against Universal Attacks for Model Adaptation☆11Updated last year
- ☆17Updated 7 months ago
- [ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection☆77Updated last month
- CVPR 2025 - R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning☆11Updated 3 weeks ago
- Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]☆60Updated last year
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆184Updated 2 years ago
- ☆19Updated 9 months ago
- PyTorch implementation of "PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning"☆14Updated 7 months ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Updated 10 months ago
- ☆63Updated last year
- ☆86Updated 2 years ago
- [NeurIPS2024] An official pytorch implement of the paper: BoostAdapter: Improving Test-Time Adaptation via Regional Bootstrapping☆15Updated 2 months ago
- [ICCV2023] - CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation☆35Updated 7 months ago
- Code for our ICML'24 on multimodal dataset distillation☆37Updated 7 months ago
- Official pytorch implementation of "RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language…☆10Updated 5 months ago
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆66Updated last year