causal inference

Causal Estimation of Memorisation Profiles ACL 2024 Causal Feature Alignment: Learning To Ignore Spurious Background Features WACV 2024 Causal Graph Modeling with Deep Neural Engines for Strong Abstract Reasoning in Language and Vision IJCAI 2024 Causal-Guided Active Learning for Debiasing Large Language Models ACL 2024 Causal Imitation for Markov Decision Processes: a Partial Identification Approach NeurIPS 2024 Causal Inference for Human-Language Model Collaboration NAACL 2024 Causal Inference from Competing Treatments ICML 2024 Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects NeurIPS 2024 Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder ICLR 2024 Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: A Case Study on Hateful Memes COLING 2024 Causality Based Front-door Defense Against Backdoor Attack on Language Models ICML 2024 Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval AAAI 2024 Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks ICLR 2024 Causally Abstracted Multi-armed Bandits UAI 2024 Causally Aligned Curriculum Learning ICLR 2024 Causally Aware Generative Adversarial Networks for Light Pollution Control AAAI 2024 Causally Inspired Regularization Enables Domain General Representations AISTATS 2024 Causal Micro-Narratives EMNLP 2024 Causal Modeling with Stationary Diffusions AISTATS 2024 Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection CVPR 2024 CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification CVPR 2024 Causal Q-Aggregation for CATE Model Selection AISTATS 2024 Causal Representation Learning via Counterfactual Intervention AAAI 2024 Causal State Distillation for Explainable Reinforcement Learning CLeaR 2024 Causal-StoNet: Causal Inference for High-Dimensional Complex Data ICLR 2024