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Found 5 papers, 2 papers with code
Motion Mapping Cognition: A Nondecomposable Primary Process in Human Vision
Human intelligence seems so mysterious that we have not successfully understood its foundation until now.
Federated Two Stage Decoupling With Adaptive Personalization Layers
While most existing clustered federated learning methods employ either model gradients or inference outputs as metrics for client partitioning, with the goal of grouping similar devices together, may still have heterogeneity within each cluster.
An Adversarial Multi-Task Learning Method for Chinese Text Correction with Semantic Detection
Text correction, especially the semantic correction of more widely used scenes, is strongly required to improve, for the fluency and writing efficiency of the text.
Constructing Word-Context-Coupled Space Aligned with Associative Knowledge Relations for Interpretable Language Modeling
However, the black-box structure of the deep neural network in pre-trained language models seriously limits the interpretability of the language modeling process.
Graph Fuzzy System: Concepts, Models and Algorithms
Finally, a learning framework of GFS is proposed, in which a kernel K-prototype graph clustering (K2PGC) is proposed to develop the construction algorithm for the GFS antecedent generation, and then based on graph neural network (GNNs), consequent parameters learning algorithm is proposed for GFS.
