What makes Models Compositional? A Theoretical View
- Parikshit Ram
- Tim Klinger
- et al.
- 2024
- IJCAI 2024
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Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection
- Parikshit Ram
- Alexander Gray
- et al.
- 2023
- SDM 2023
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases
- Nandana Mihindukulasooriya
- Gaetano Rossiello
- et al.
- 2020
- ISWC 2020
Human-AI Collaboration in Data Science: Exploring Data Scientists’ Perceptions of Automated AI
- Dakuo Wang
- Justin Weisz
- et al.
- 2019
- CSCW 2019
What makes a Model Compositional? A Neuro-Symbolic Theoretical View
- Parikshit Ram
- Tim Klinger
- et al.
- 2024
- IJCAI 2024
How Compositional is a Model?
- Parikshit Ram
- Tim Klinger
- et al.
- 2023
- IJCAI 2023
Neuro-Symbolic Model-based RL with Logical Neural Network
- 2023
- IJCAI 2023
Explainable Neuro-Symbolic Reinforcement Learning
- Daiki Kimura
- Stefan Zecevic
- et al.
- 2023
- IJCAI 2023
Reinforcement Learning with External Knowledge by using Logical Neural Networks
- 2021
- IJCAI 2020
Sygma: System for generalizable modular question answering over knowledge bases
- Sumit Neelam
- Udit Sharma
- et al.
- 2022
- EMNLP 2022