causal disentanglement

BiomedCCPL: Causal Conditional Prompt Learning for Biomedical Vision-Language Models CVPR 2026 CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2026 Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning ICCV 2025 Disentangling Biased Representations: A Causal Intervention Framework for Fairer NLP Models ACL 2025 Toward Causal Generative Modeling: From Representation to Generation AAAI 2025 A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024 CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving CVPR 2024 CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense NeurIPS 2024 Causal Representation Learning via Counterfactual Intervention AAAI 2024 Identifiability Guarantees for Causal Disentanglement from Purely Observational Data NeurIPS 2024 C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder NeurIPS 2023 Harnessing Out-Of-Distribution Examples via Augmenting Content and Style ICLR 2023 Identifiability Guarantees for Causal Disentanglement from Soft Interventions NeurIPS 2023 Linear Causal Disentanglement via Interventions ICML 2023 On Causally Disentangled Representations AAAI 2022