Reasoning
2,774 papers (30 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
5
6
14
6
11
15
17
25
15
13
23
99
132
205
277
248
308
329
465
453
108
'10
'15
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'25
Papers (including subtopics)
An Operational Semantics for True Concurrency in BDI Agent Systems
AAAI 2020
Answering Conjunctive Queries with Inequalities in DL-Liteℛ
AAAI 2020
Answering Counting Queries over DL-Lite Ontologies
IJCAI 2020
A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork
IJCAI 2020
A Practical Approach to Forgetting in Description Logics with Nominals
AAAI 2020
Aragog: Scalable Runtime Verification of Shardable Networked Systems
OSDI 2020
Are Pretrained Language Models Symbolic Reasoners over Knowledge?
CoNLL 2020
A Simpler and Faster NIC Driver Model for Network Functions
OSDI 2020
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models
AAAI 2020
Assessing SATNet's Ability to Solve the Symbol Grounding Problem
NeurIPS 2020
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract)
IJCAI 2020
Automated Reasoning and Detection of Specious Configuration in Large Systems with Symbolic Execution
OSDI 2020
Automatic Verification of Liveness Properties in the Situation Calculus
AAAI 2020
Bayesian network structure learning with causal effects in the presence of latent variables
PGM 2020
Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract)
AAAI 2020
Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings
ACL 2020
Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs
AAAI 2020
Building Causal Interaction Models by Recursive Unfolding
PGM 2020
C3MM: Clique-Closure based Hyperlink Prediction
IJCAI 2020
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction
ACL 2020
CASTLE: Regularization via Auxiliary Causal Graph Discovery
NeurIPS 2020
Causal Bayesian Optimization
AISTATS 2020
Causal Discovery from Heterogeneous/Nonstationary Data
JMLR 2020
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
NeurIPS 2020
Causal Discovery in Physical Systems from Videos
NeurIPS 2020