WANGXinyiLinda / causal-balancing-for-domain-generalizationLinks
This is the official reporsitory for paper Causal Balancing for Domain Generalization
☆12Updated 2 years ago
Alternatives and similar repositories for causal-balancing-for-domain-generalization
Users that are interested in causal-balancing-for-domain-generalization are comparing it to the libraries listed below
Sorting:
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- ☆49Updated 2 years ago
- ☆23Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- Code of Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification☆11Updated last year
- ☆26Updated 2 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆40Updated last year
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated last year
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆18Updated last year
- ☆44Updated 2 months ago
- ☆12Updated last year
- Continual Model Generalization for Unseen Domains☆45Updated 2 years ago
- An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS, 2023.☆11Updated last year
- Self-Supervised Dataset Distillation for Transfer Learning☆15Updated last year
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆34Updated 2 years ago
- ☆18Updated 2 years ago
- ATS for NeurIPS 2021☆23Updated 3 years ago
- Official Implementation of Avoiding spurious correlations via logit correction☆17Updated 2 years ago
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆37Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- ☆17Updated 2 years ago
- Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets☆15Updated 2 years ago
- Awesome-open-world-learning☆25Updated 3 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆60Updated 2 years ago
- [CVPR 2022 Oral] Towards Principled Disentanglement for Domain Generalization☆61Updated 2 years ago
- This is the project for IRM methods☆12Updated 3 years ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 3 years ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated last year
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆19Updated 2 years ago