uiuctml / GOATLinks
[JMLR] Gradual Domain Adaptation: Theory and Algorithms
☆10Updated 5 months ago
Alternatives and similar repositories for GOAT
Users that are interested in GOAT are comparing it to the libraries listed below
Sorting:
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- Towards Unified and Effective Domain Generalization☆31Updated last year
- ☆65Updated last year
- ☆11Updated 2 years ago
- [ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"☆23Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- LCA-on-the-line (ICML 2024 Oral)☆12Updated 4 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆45Updated 8 months ago
- ☆31Updated last month
- This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.☆11Updated 3 years ago
- [ICML'24] Open-Vocabulary Calibration for Fine-tuned CLIP☆14Updated last year
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 7 months ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆41Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- [ICML2022] "Identity-Disentangled Adversarial Augmentation for Self-Supervised Learning"☆10Updated 2 years ago
- ☆26Updated 2 years ago
- [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"☆13Updated last year
- ☆16Updated last year
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆26Updated 8 months ago
- The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.☆41Updated last year
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆22Updated last year
- ICCV 2023 - AdaptGuard: Defending Against Universal Attacks for Model Adaptation☆11Updated last year
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆21Updated 9 months ago
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆23Updated last year
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆85Updated last year
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆10Updated 4 months ago
- A code framework for implementing UniDA☆24Updated last year
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated last year
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆41Updated last year