causal representation

Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains ICML 2025 Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization AAAI 2025 BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning NeurIPS 2024 CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process ICML 2024 Hacking Task Confounder in Meta-Learning IJCAI 2024 Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms IJCAI 2024 Learning Identifiable Factorized Causal Representations of Cellular Responses NeurIPS 2024 Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity NeurIPS 2024 Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference EMNLP 2024 Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction AAAI 2023 DISCO: Distilling Counterfactuals with Large Language Models ACL 2023 Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering CVPR 2023 Learning Linear Causal Representations from Interventions under General Nonlinear Mixing NeurIPS 2023 Nonparametric Identifiability of Causal Representations from Unknown Interventions NeurIPS 2023 Causality Inspired Representation Learning for Domain Generalization CVPR 2022 Direct Advantage Estimation NeurIPS 2022 Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization NeurIPS 2022 Reinforcement Learning of Causal Variables Using Mediation Analysis AAAI 2022 Learning latent causal graphs via mixture oracles NeurIPS 2021 Beyond Structural Causal Models: Causal Constraints Models UAI 2019