NeurAI-Lab / DARE
Official Repository for the ICML 2024 paper "Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method"
☆11Updated 7 months ago
Alternatives and similar repositories for DARE:
Users that are interested in DARE are comparing it to the libraries listed below
- Probabilistic lifElong Test-time Adaptation with seLf-training prior (PETAL)☆13Updated last year
- [AAAI2024] Exploring Diverse Representations for Open Set Recognition☆21Updated 10 months ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆21Updated last year
- Local Context-Aware Active Domain Adaptation (ICCV 2023)☆19Updated last year
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆60Updated last year
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆24Updated 2 years ago
- [ICCV-2023] Heterogeneous Forgetting Compensation for Class-Incremental Learning☆12Updated last year
- The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.☆38Updated last year
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 2 years ago
- CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer☆23Updated 11 months ago
- The official implementation for paper: Vision-Language Models are Strong Noisy Label Detectors☆14Updated 2 weeks ago
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆48Updated last year
- An open-world scenario domain generalization code base☆26Updated 2 years ago
- [AAAI 2024] Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization☆23Updated last week
- This is the PyTorch Implementation of "AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation (CVPR '24)" by Taeckyung Lee, Sorn …☆13Updated 9 months ago
- ☆48Updated 2 years ago
- [CVPR' 23] Adjustment and Alignment for Unbiased Open Set Domain Adaptation☆17Updated last year
- Multi-level Online Sequential Experts (MOSE) for online continual learning problem. (CVPR2024)☆21Updated last week
- [ICCV 2023 Oral] Official PyTorch implementation of our paper for semi-supervised continual learning "A soft nearest-neighbor framework f…☆23Updated 4 months ago
- [CVPR 2024] TEA: Test-time Energy Adaptation☆64Updated last year
- ☆18Updated 2 years ago
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆22Updated last year
- ☆15Updated 6 months ago
- Towards Unified and Effective Domain Generalization☆31Updated last year
- [ECCV 2024] Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning☆12Updated 6 months ago
- Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"☆19Updated 3 months ago
- Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)☆20Updated 7 months ago
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆75Updated last year
- Code for "External Knowledge Injection for CLIP-Based Class-Incremental Learning"☆19Updated last month
- [CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"☆30Updated last year