Co-occurring keywords · papers mentioning both
Papers
Learning and Enforcing Context-Sensitive Control for LLMs
ACL 2025
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification
EMNLP 2024
What Are the Rules? Discovering Constraints from Data
AAAI 2024
Learning Shared Safety Constraints from Multi-task Demonstrations
NeurIPS 2023
A Solver-free Framework for Scalable Learning in Neural ILP Architectures
NeurIPS 2022
Constrained Multi-Task Learning for Bridging Resolution
ACL 2022
Interactively Learning Preference Constraints in Linear Bandits
ICML 2022
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
ICML 2021
Constraint-Driven Learning of Logic Programs
AAAI 2021
Democratizing Constraint Satisfaction Problems through Machine Learning
AAAI 2021
Inverse Constrained Reinforcement Learning
ICML 2021
Learning Constraints and Descriptive Segmentation for Subevent Detection
EMNLP 2021
Lifting Symmetry Breaking Constraints with Inductive Logic Programming
IJCAI 2021
On exploration requirements for learning safety constraints
L4DC 2021
Safe Reinforcement Learning with Linear Function Approximation
ICML 2021
A Constraint-Based Approach to Learning and Explanation
AAAI 2020
Learning Constraints for Structured Prediction Using Rectifier Networks
ACL 2020
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation
AAAI 2020
On Irrelevant Literals in Pseudo-Boolean Constraint Learning
IJCAI 2020
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations
CoRL 2020
Acquiring Integer Programs from Data
IJCAI 2019
Learning Parametric Constraints in High Dimensions from Demonstrations
CoRL 2019
Safe Exploration for Interactive Machine Learning
NeurIPS 2019
Learning SMT(LRA) Constraints using SMT Solvers
IJCAI 2018
Don’t understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures
ACL 2017