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Knowledge & Reasoning

4,397 papers (1 classified directly here)

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Papers (including subtopics)

CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process ICML 2024 Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces AAAI 2024 Causal Bandits with General Causal Models and Interventions AISTATS 2024 CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models ACL 2024 CausalCite: A Causal Formulation of Paper Citations ACL 2024 Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models CVPR 2024 Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis AAAI 2024 Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction EMNLP 2024 Causal Discovery under Off-Target Interventions AISTATS 2024 Causal Discovery via Conditional Independence Testing with Proxy Variables ICML 2024 Causal Discovery with Deductive Reasoning: One Less Problem UAI 2024 Causal discovery with endogenous context variables NeurIPS 2024 Causal Discovery with Fewer Conditional Independence Tests ICML 2024 Causal Discovery with Generalized Linear Models through Peeling Algorithms JMLR 2024 Causal Effect Identification in a Sub-Population with Latent Variables NeurIPS 2024 Causal Effect Identification in LiNGAM Models with Latent Confounders ICML 2024 Causal effects of intervening variables in settings with unmeasured confounding JMLR 2024 Causal Imitation for Markov Decision Processes: a Partial Identification Approach NeurIPS 2024 Causal Inference from Competing Treatments ICML 2024 Causal Inference out of Control: Estimating Performativity without Treatment Randomization ICML 2024 Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference ICML 2024 Causality Based Front-door Defense Against Backdoor Attack on Language Models ICML 2024 Causal-learn: Causal Discovery in Python JMLR 2024 Causally Aware Generative Adversarial Networks for Light Pollution Control AAAI 2024 Causal Modeling with Stationary Diffusions AISTATS 2024