Reasoning
2,774 papers (30 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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14
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25
15
13
23
99
132
205
277
248
308
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465
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108
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Papers (including subtopics)
Foundations of Testing for Finite-Sample Causal Discovery
ICML 2024
From Geometry to Causality- Ricci Curvature and the Reliability of Causal Inference on Networks
ICML 2024
From Statistical Relational to Neuro-Symbolic Artificial Intelligence
AAAI 2024
Functional Directed Acyclic Graphs
JMLR 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
NeurIPS 2024
FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving
NeurIPS 2024
General Identifiability and Achievability for Causal Representation Learning
AISTATS 2024
Generalisation through Negation and Predicate Invention
AAAI 2024
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
JMLR 2024
Generalized Planning for the Abstraction and Reasoning Corpus
AAAI 2024
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
ICML 2024
Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI
AAAI 2024
Graph Contrastive Invariant Learning from the Causal Perspective
AAAI 2024
Graph Learning for Numeric Planning
NeurIPS 2024
Hacking Task Confounder in Meta-Learning
IJCAI 2024
Higher-Order Causal Message Passing for Experimentation with Complex Interference
NeurIPS 2024
How to Understand “Support”? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding
COLING 2024
HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning Task
SemEval 2024
Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models
NeurIPS 2024
Identifiability Analysis of Linear ODE Systems with Hidden Confounders
NeurIPS 2024
Identifiability of Direct Effects from Summary Causal Graphs
AAAI 2024
Identifiability of total effects from abstractions of time series causal graphs
UAI 2024
Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
ICML 2024
Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable
UAI 2024
Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments
NeurIPS 2024