Neural networks : the official journal of the International Neural Network Society
Mar 3, 2025
The objective of multi-label image classification (MLIC) task is to simultaneously identify multiple objects present in an image. Several researchers directly flatten 2D feature maps into 1D grid feature sequences, and utilize Transformer encoder to ...
Neural networks : the official journal of the International Neural Network Society
Mar 1, 2025
Learning with neural networks from a continuous stream of visual information presents several challenges due to the non-i.i.d. nature of the data. However, it also offers novel opportunities to develop representations that are consistent with the inf...
Neural networks : the official journal of the International Neural Network Society
Mar 1, 2025
The marriage of deep neural network (DNN) and secure 2-party computation (2PC) enables private inference (PI) on the encrypted client-side data and server-side models with both privacy and accuracy guarantees, coming at the cost of orders of magnitud...
Neural networks : the official journal of the International Neural Network Society
Feb 28, 2025
The rehearsal-based continual learning methods usually involve reviewing a small number of representative samples to enable the network to learn new contents while retaining old knowledge. However, existing works overlook two crucial factors: (1) Whi...
Neural networks : the official journal of the International Neural Network Society
Feb 28, 2025
Neural Radiance Fields (NeRF) have shown great potential for synthesizing novel views. Currently, despite the existence of some initial controllable and editable NeRF methods, they remain limited in terms of efficient and fine-grained editing capabil...
Neural networks : the official journal of the International Neural Network Society
Feb 27, 2025
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...
Neural networks : the official journal of the International Neural Network Society
Feb 27, 2025
The user identity linkage task aims to associate user accounts belonging to the same individual by utilizing user data. This task is relevant in domains such as recommendation systems, where user-generated content (i.e., behavioral data) serves as th...
Neural networks : the official journal of the International Neural Network Society
Feb 27, 2025
Existing deep reinforcement learning (DRL) algorithms suffer from the problem of low sample efficiency. Episodic memory allows DRL algorithms to remember and use past experiences with high return, thereby improving sample efficiency. However, due to ...
Neural networks : the official journal of the International Neural Network Society
Feb 27, 2025
Recently, quantum federated learning (QFL) has received significant attention as an innovative paradigm. QFL has remarkable features by employing quantum neural networks (QNNs) instead of conventional neural networks owing to quantum supremacy. In or...
Neural networks : the official journal of the International Neural Network Society
Feb 27, 2025
In this study, we propose a subspace-enhanced hypergraph neural network (seHGNN) for classifying anxiety disorders (AD), which are prevalent mental illnesses that affect a significant portion of the global population. Our seHGNN model utilizes a lear...