invariant learning

FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD AAAI 2026 Invariant Conditional Molecular Generation Under Distribution Shift AAAI 2026 Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation AAAI 2026 Equal Truth: Rumor Detection with Invariant Group Fairness EMNLP 2025 Exploring Rationale Learning for Continual Graph Learning AAAI 2025 Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency ICML 2025 Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem AISTATS 2025 Sufficient Invariant Learning for Distribution Shift CVPR 2025 A Canonicalization Perspective on Invariant and Equivariant Learning NeurIPS 2024 Decoupled Invariant Attention Network for Multivariate Time-series Forecasting IJCAI 2024 Dissecting the Failure of Invariant Learning on Graphs NeurIPS 2024 Effect-Invariant Mechanisms for Policy Generalization JMLR 2024 Enhancing Distributional Stability among Sub-populations AISTATS 2024 Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization AAAI 2024 Hacking Task Confounder in Meta-Learning IJCAI 2024 Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference ICML 2024 Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments CVPR 2024 Set-based Neural Network Encoding Without Weight Tying NeurIPS 2024 Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning ICML 2024 An Invariant Learning Characterization of Controlled Text Generation ACL 2023 Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning ACL 2023 Covariate-Shift Generalization via Random Sample Weighting AAAI 2023 Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract) IJCAI 2023 Does Invariant Graph Learning via Environment Augmentation Learn Invariance? NeurIPS 2023 Invariant Learning via Probability of Sufficient and Necessary Causes NeurIPS 2023