AIMC Topic: Neural Networks, Computer

Clear Filters Showing 26741 to 26750 of 31376 articles

Improving generalization of neural Vehicle Routing Problem solvers through the lens of model architecture.

Neural networks : the official journal of the International Neural Network Society
Neural models produce promising results when solving Vehicle Routing Problems (VRPs), but may often fall short in generalization. Recent attempts to enhance model generalization often incur unnecessarily large training cost or cannot be directly appl...

An improved Artificial Protozoa Optimizer for CNN architecture optimization.

Neural networks : the official journal of the International Neural Network Society
In this paper, we propose a novel neural architecture search (NAS) method called MAPOCNN, which leverages an enhanced version of the Artificial Protozoa Optimizer (APO) to optimize the architecture of Convolutional Neural Networks (CNNs). The APO is ...

Deep Huber quantile regression networks.

Neural networks : the official journal of the International Neural Network Society
Typical machine learning regression applications aim to report the mean or the median of the predictive probability distribution, via training with a squared or an absolute error scoring function. The importance of issuing predictions of more functio...

Unambiguous granularity distillation for asymmetric image retrieval.

Neural networks : the official journal of the International Neural Network Society
Previous asymmetric image retrieval methods based on knowledge distillation have primarily focused on aligning the global features of two networks to transfer global semantic information from the gallery network to the query network. However, these m...

Spatial and frequency information fusion transformer for image super-resolution.

Neural networks : the official journal of the International Neural Network Society
Previous works have indicated that Transformer-based models bring impressive image reconstruction performance in single image super-resolution (SISR). However, existing Transformer-based approaches utilize self-attention within non-overlapping window...

Bilinear Spatiotemporal Fusion Network: An efficient approach for traffic flow prediction.

Neural networks : the official journal of the International Neural Network Society
Accurate traffic flow forecasting is critical for intelligent transportation systems, yet increasing model complexity in spatiotemporal graph neural networks does not always yield proportional gains. In this paper, we present a Bilinear Spatiotempora...

Multi-level semantic-aware transformer for image captioning.

Neural networks : the official journal of the International Neural Network Society
Effective visual representation is crucial for image captioning task. Among the existing methods, the grid-based visual encoding methods take fragmented features extracted from the entire image as input, lacking the fine-grained semantic information ...

Enhancing text-centric fake news detection via external knowledge distillation from LLMs.

Neural networks : the official journal of the International Neural Network Society
Fake news poses a significant threat to society, making the automatic and accurate detection of fake news an urgent task. Various detection cues have been explored in extensive research, with news text content shown to be indispensable as it directly...

A novel one-layer neural network for solving quadratic programming problems.

Neural networks : the official journal of the International Neural Network Society
This paper proposes a novel one-layer neural network to solve quadratic programming problems in real time by using a control parameter and transforming the optimality conditions into a system of projection equations. The proposed network includes two...