ismailnejjar / DARE-GRAMLinks
[CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices
☆54Updated 2 years ago
Alternatives and similar repositories for DARE-GRAM
Users that are interested in DARE-GRAM are comparing it to the libraries listed below
Sorting:
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆82Updated 3 years ago
- Code for Unsupervised Multi-Source Domain Adaptation for Regression paper☆18Updated 5 years ago
- Evidential Deep Learning in PyTorch☆61Updated 2 years ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆60Updated 2 years ago
- Code for Adversarial Reweighting for Partial Domain Adaptation (NeurIPS 2021)☆35Updated last year
- Contrastive Learning for Domain Adaptation of Time Series☆88Updated last year
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆18Updated last year
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- Adversarial Weighting for Domain Adaptation in Regression☆23Updated 3 years ago
- [KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation☆53Updated last year
- ☆21Updated last year
- ☆25Updated 2 years ago
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆59Updated 2 years ago
- Record my work in transfer learning during my postgraduate period.☆50Updated last year
- Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.☆13Updated last year
- Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022☆25Updated last year
- ☆18Updated last year
- Implementation of Deep evidential regression paper☆57Updated 4 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆30Updated last year
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆35Updated 2 years ago
- PyTorch code for Uncertainty-guided Source-free Domain Adaptation☆36Updated 2 years ago
- 🤗 [ICLR 2024] Disentangling Time Series Representations via Contrastive based l-Variational Inference☆18Updated 4 months ago
- Translation of DeepJDOT into pytorch.☆10Updated 4 years ago
- This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…☆25Updated last year
- PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)☆135Updated last year
- ☆24Updated 2 years ago
- [CVPR 2024] The official repository of our paper "LEAD: Learning Decomposition for Source-free Universal Domain Adaptation"☆34Updated last month
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆58Updated 2 years ago
- Rethinking Multi-domain Generalization with A General Learning Objective, accepted by cvpr24☆17Updated 7 months ago
- T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation☆20Updated 2 years ago