Aboriginer / ZS-NTTALinks
[ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"
☆17Updated 10 months ago
Alternatives and similar repositories for ZS-NTTA
Users that are interested in ZS-NTTA are comparing it to the libraries listed below
Sorting:
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆12Updated 10 months ago
- ☆22Updated 3 weeks ago
- [NeurIPS 2024] "Mind the Gap between Prototypes and Images in Cross-domain Finetuning"☆10Updated last year
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆85Updated last year
- [NeurIPS 2023] Generalized Logit Adjustment☆39Updated last year
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆45Updated 9 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆51Updated last year
- [ICML'24] Open-Vocabulary Calibration for Fine-tuned CLIP☆17Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆69Updated 2 years ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆15Updated 10 months ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆80Updated 10 months ago
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆21Updated last year
- Instruction Tuning in Continual Learning paradigm☆68Updated 11 months ago
- [NeurIPS 2025 Datasets & Benchmarks Track] The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models☆30Updated 2 months ago
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆124Updated last year
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆203Updated 3 years ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Updated last year
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆112Updated last year
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆14Updated 10 months ago
- [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation☆71Updated last year
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆92Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆90Updated last year
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆51Updated 2 years ago
- ☆62Updated last year
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆135Updated 2 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Updated 2 years ago
- ☆30Updated 2 years ago
- ☆29Updated last year
- PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022☆93Updated last year