MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract).
Dexter NeoPublished in: AAAI (2024)
Keyphrases
- neural network
- learning environment
- pattern recognition
- graph theory
- spatial distribution
- knowledge level
- maximum entropy
- higher level
- student model
- intelligent tutoring systems
- student learning
- graph matching
- graph structure
- tutoring system
- graph model
- back propagation
- graph representation
- artificial neural networks
- graph partitioning
- graph theoretic
- undergraduate students
- input pattern
- feed forward
- neural network model
- directed graph
- camera calibration
- learning process
- high level
- genetic algorithm
- neural nets
- recurrent neural networks
- structured data
- graph databases
- random walk
- sufficient conditions
- fuzzy logic