kuiy / Causal-Autoencoder-CAE-
Source codes of Learning Causal Representations for Robust Domain Adaptation (IEEE TKDE)
☆11Updated 2 years ago
Related projects: ⓘ
- [NeurIPS 2023] SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization☆49Updated 2 months ago
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆11Updated 9 months ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆74Updated 5 months ago
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆31Updated last year
- Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)☆52Updated 3 months ago
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆53Updated last year
- Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)☆15Updated 2 weeks ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆57Updated last year
- Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022☆19Updated last year
- ☆14Updated 10 months ago
- Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.☆37Updated 10 months ago
- PyTorch code for Uncertainty-guided Source-free Domain Adaptation☆34Updated 2 years ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆50Updated 2 years ago
- ☆18Updated 2 years ago
- This repository contains code for the paper "Imbalanced Semi-supervised Learning with Bias Adaptive Classifier", published at ICLR 2023.☆18Updated last year
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆43Updated last year
- ☆20Updated last year
- Official code for the CVPR 2021 paper "FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation"☆63Updated 2 years ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆27Updated last year
- This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…☆22Updated 7 months ago
- [ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",☆68Updated 5 months ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆24Updated 3 months ago
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆18Updated 9 months ago
- Weakly Supervised Contrastive Learning☆39Updated 2 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆75Updated 5 months ago
- The official implementation for DomainDrop (ICCV 2023).☆43Updated 9 months ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 2 years ago
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆54Updated 2 years ago
- [ICCV 2021] Code release for "Semantic Concentration for Domain adaptation"☆21Updated 3 years ago
- Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"☆20Updated 3 months ago