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Found 6 papers, 1 papers with code
Computational Models to Study Language Processing in the Human Brain: A Survey
Despite differing from the human language processing mechanism in implementation and algorithms, current language models demonstrate remarkable human-like or surpassing language capabilities.
PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks
Accurate and efficient power flow (PF) analysis is crucial in modern electrical networks' operation and planning.
Language Cognition and Language Computation -- Human and Machine Language Understanding
Language understanding is a key scientific issue in the fields of cognitive and computer science.
NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control
Our meta policy tries to manipulate the next optimal state and actual action is produced by the inverse dynamics model.
Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics
Considering that multimodal models are originally motivated by human concept representations, we assume that correlating multimodal representations with brain-based semantics would interpret their inner properties to answer the above questions.
Learning Semantic Representations
Natural Language Understanding
Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis
The results demonstrate that the randomized feature selection method coupled with functional principal component analysis substantially outperforms the current sparse clustering algorithms in image cluster analysis.
