causal learning

Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting IJCAI 2025 CleanPose: Category-Level Object Pose Estimation via Causal Learning and Knowledge Distillation ICCV 2025 Emergence-Inspired Multi-Granularity Causal Learning AAAI 2025 FALCON: Adaptive Cross-Domain APT Attack Investigation with Federated Causal Learning UAI 2025 Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence ICCV 2025 Generalizing to Unseen Disaster Events: A Causal View IJCNLP 2025 Towards Precise Embodied Dialogue Localization via Causality Guided Diffusion CVPR 2025 A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024 Enhancing Distributional Stability among Sub-populations AISTATS 2024 Rethinking Causal Relationships Learning in Graph Neural Networks AAAI 2024 Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning IJCAI 2024 Vision-and-Language Navigation via Causal Learning CVPR 2024 Efficient Conditionally Invariant Representation Learning ICLR 2023 GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints ICLR 2023 SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation CoRL 2023 Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space ICLR 2022 Learning Causal Overhypotheses through Exploration in Children and Computational Models CLeaR 2022 Generative Interventions for Causal Learning CVPR 2021 Alleviating Privacy Attacks via Causal Learning ICML 2020 Reliable and Efficient Anytime Skeleton Learning AAAI 2020 Causal Learning via Manifold Regularization JMLR 2019 CCMI : Classifier based Conditional Mutual Information Estimation UAI 2019 CXPlain: Causal Explanations for Model Interpretation under Uncertainty NeurIPS 2019