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Found 5 papers, 2 papers with code
An Investigation into the Contribution of Locally Aggregated Descriptors to Figurative Language Identification
In natural language understanding, topics that touch upon figurative language and pragmatics are notably difficult.
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment
Learning from the collective knowledge of data dispersed across private sources can provide neural networks with enhanced generalization capabilities.
Sparse Binary Transformers for Multivariate Time Series Modeling
Compressed Neural Networks have the potential to enable deep learning across new applications and smaller computational environments.
Scalable Nonlinear AUC Maximization Methods
The kernelized AUC maximization machines have established a superior generalization ability compared to linear AUC machines because of their capability in modeling the complex nonlinear structure underlying most real-world data.
Confidence-Weighted Bipartite Ranking
The experimental results validate the reliability of the proposed algorithms.
