kuiy / Causal-Autoencoder-CAE-Links
Source codes of Learning Causal Representations for Robust Domain Adaptation (IEEE TKDE)
☆12Updated 3 years ago
Alternatives and similar repositories for Causal-Autoencoder-CAE-
Users that are interested in Causal-Autoencoder-CAE- are comparing it to the libraries listed below
Sorting:
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆20Updated 2 months ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆32Updated 3 years ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆45Updated last year
- ☆11Updated 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
- Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)☆24Updated last year
- Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.☆49Updated 2 years ago
- Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022☆26Updated 2 years ago
- Code for our method CALS (Class Adaptive Label Smoothing) for network calibration. To Appear at CVPR 2023. Paper: https://arxiv.org/abs/2…☆25Updated 2 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆94Updated last year
- Few-Shot Graph Classification via distance metric learning.☆23Updated last year
- ☆19Updated 3 years ago
- Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning - UAI 2021☆23Updated 10 months ago
- PyTorch code for Uncertainty-guided Source-free Domain Adaptation☆35Updated 3 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆44Updated 2 years ago
- Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"☆21Updated 10 months ago
- [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'☆26Updated 5 years ago
- A Pytorch implementation of Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation☆14Updated 2 years ago
- Official PyTorch implementation of the paper "Utilizing Expert Features for Contrastive Learning of Time-Series Representations"☆14Updated 2 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆33Updated last year
- A pytorch implementation for "Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation", which is accepted by CVPR2021.☆32Updated last year
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆84Updated 4 years ago
- Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.☆13Updated last year
- C-Mixup for NeurIPS 2022☆73Updated last year
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)☆43Updated last year
- [ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",☆71Updated last year
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆42Updated 2 years ago
- Official repository for Is your noise correction noisy? PLS: Robustness to label noise with two stage detection WACV 2023☆20Updated 2 years ago
- Geometric metrics for perceptual manifolds in deep neural networks☆27Updated last year