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]☆19Updated last month
- Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.☆47Updated last year
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆52Updated 2 years ago
- Few-Shot Graph Classification via distance metric learning.☆23Updated last year
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆59Updated 2 years ago
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆31Updated 2 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆44Updated 2 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 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
- Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)☆22Updated last year
- [ICLR 2023] Official code for the paper "Identifiability Results for Multimodal Contrastive Learning"☆35Updated 2 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆84Updated 3 years ago
- Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning - UAI 2021☆23Updated 8 months ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆32Updated last year
- Contrastive Learning for Domain Adaptation of Time Series☆92Updated last year
- A Pytorch implementation of Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation☆13Updated last year
- [NeurIPS 2023] SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization☆71Updated 4 months ago
- ☆11Updated 2 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆54Updated 2 years ago
- C-Mixup for NeurIPS 2022☆73Updated last year
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆39Updated last year
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆30Updated 4 months ago
- Official implementation for masked contrastive learning for anomaly detection.(IJCAI-21)☆18Updated 4 years ago
- Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022☆26Updated 2 years ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆28Updated 4 years ago
- Code for "Dual Focal Loss for Calibration" (ICML 2023)☆32Updated 5 months ago
- ☆14Updated 4 years ago
- ☆18Updated 2 years ago
- Evidential Deep Learning in PyTorch☆64Updated 3 years ago