conftrace_

causal representation learning

38 papers

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Also known as

CRL

Co-occurring keywords

causal inference (1630) latent variable (541) causal representation (18) causal graph (140) structural causal model (184) spurious correlation (279) variational autoencoder (1288) disentangled representation (521) out-of-distribution generalization (408) domain generalization (1522)

Papers

COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series AAAI 2026
The Proxy Presumption: From Semantic Embeddings to Valid Social Measures ACL 2026
Toward Causal Foundation World Models: From Representation to Decision-Making AAAI 2026
Score-based Causal Representation Learning: Linear and General Transformations JMLR 2025
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness EMNLP 2025
Toward Causal Generative Modeling: From Representation to Generation AAAI 2025
Causality-Inspired Disentanglement for Fair Graph Neural Networks IJCAI 2025
Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction IJCAI 2025
Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization AAAI 2025
Visual Representation Learning through Causal Intervention for Controllable Image Editing CVPR 2025
Hacking Task Confounder in Meta-Learning IJCAI 2024
Identifying General Mechanism Shifts in Linear Causal Representations NIPS 2024
Marrying Causal Representation Learning with Dynamical Systems for Science NIPS 2024
Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity NIPS 2024
General Identifiability and Achievability for Causal Representation Learning AISTATS 2024
Multi-Domain Causal Representation Learning via Weak Distributional Invariances AISTATS 2024
Sample Complexity of Interventional Causal Representation Learning NIPS 2024
Causal Representation Learning via Counterfactual Intervention AAAI 2024
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference EMNLP 2024
Towards the Reusability and Compositionality of Causal Representations CLEAR 2024
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions CLEAR 2024
Linear Causal Representation Learning from Unknown Multi-node Interventions NIPS 2024
From Causal to Concept-Based Representation Learning NIPS 2024
Robust Causal Graph Representation Learning against Confounding Effects AAAI 2023
Causal Component Analysis NIPS 2023