h-yu16 / Sparse_Variable_Independence
Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".
☆13Updated 10 months ago
Alternatives and similar repositories for Sparse_Variable_Independence:
Users that are interested in Sparse_Variable_Independence are comparing it to the libraries listed below
- Stable Prediction with Model Misspecification and Agnostic Distribution Shift☆25Updated 4 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆24Updated 3 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆57Updated last year
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Updated 2 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated last year
- ☆48Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- Disentangled gEnerative cAusal Representation (DEAR)☆60Updated 2 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆60Updated last year
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 3 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆66Updated 2 years ago
- ☆30Updated 4 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆22Updated last year
- The implementation and addtional material of AAAI2020 paper "Stable Learning via Sample Reweighting"☆16Updated 5 years ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆38Updated last year
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆191Updated 3 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- ☆24Updated last week
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆12Updated 3 years ago
- ☆42Updated 2 weeks ago
- The implementation of TIVA☆9Updated 11 months ago
- MLTI for ICLR 2022☆30Updated 2 years ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆35Updated 2 years ago
- C-Mixup for NeurIPS 2022☆70Updated last year
- ☆12Updated last year
- VAEs and nonlinear ICA: a unifying framework☆47Updated 5 years ago
- Code repository of the paper "BooVAE: Boosting Approach for Continual Learning of VAE" published at NeurIPS 2021. https://arxiv.org/abs/1…☆13Updated 3 years ago
- This is an Uncertainty Study Arxiv☆11Updated last month