invariant learning

Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization NeurIPS 2023 Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation NeurIPS 2023 Mind the Label Shift of Augmentation-Based Graph OOD Generalization CVPR 2023 Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift NeurIPS 2023 Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift NeurIPS 2022 Environment Diversification with Multi-head Neural Network for Invariant Learning NeurIPS 2022 Handling Distribution Shifts on Graphs: An Invariance Perspective ICLR 2022 Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs NeurIPS 2022 Learning Invariant Graph Representations for Out-of-Distribution Generalization NeurIPS 2022 Learning invariant weights in neural networks UAI 2022 Adaptive Methods for Real-World Domain Generalization CVPR 2021 DistAI: Data-Driven Automated Invariant Learning for Distributed Protocols OSDI 2021 Environment Inference for Invariant Learning ICML 2021 Heterogeneous Risk Minimization ICML 2021 Integrated Latent Heterogeneity and Invariance Learning in Kernel Space NeurIPS 2021 On Equivariant and Invariant Learning of Object Landmark Representations ICCV 2021 SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness ICLR 2021 Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR 2021 Invariant Rationalization ICML 2020 Learning Invariants through Soft Unification NeurIPS 2020