AIMC Topic: Neural Networks, Computer

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PrivCore: Multiplication-activation co-reduction for efficient private inference.

Neural networks : the official journal of the International Neural Network Society Jul 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...
Computer Security Algorithms Privacy Neural Networks, Computer Humans
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DRTN: Dual Relation Transformer Network with feature erasure and contrastive learning for multi-label image classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 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 ...
Algorithms Image Processing, Computer-Assisted Machine Learning Pattern Recognition, Automated Neural Networks, Computer Humans
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Dual selective fusion transformer network for hyperspectral image classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Transformer has achieved satisfactory results in the field of hyperspectral image (HSI) classification. However, existing Transformer models face two key challenges when dealing with HSI scenes characterized by diverse land cover types and rich spect...
Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Hyperspectral Imaging
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Approximation by non-symmetric networks for cross-domain learning.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
For the past 30 years or so, machine learning has stimulated a great deal of research in the study of approximation capabilities (expressive power) of a multitude of processes, such as approximation by shallow or deep neural networks, radial basis fu...
Algorithms Neural Networks, Computer Machine Learning Humans
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ABVS breast tumour segmentation via integrating CNN with dilated sampling self-attention and feature interaction Transformer.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Given the rapid increase in breast cancer incidence, the Automated Breast Volume Scanner (ABVS) is developed to screen breast tumours efficiently and accurately. However, reviewing ABVS images is a challenging task owing to the significant variations...
Female Algorithms Image Processing, Computer-Assisted Imaging, Three-Dimensional Breast Neoplasms Humans Neural Networks, Computer
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DuPt: Rehearsal-based continual learning with dual prompts.

Neural networks : the official journal of the International Neural Network Society Jul 1, 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, Computer Learning Machine Learning Humans Cues
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RISE-Editing: Rotation-invariant neural point fields with interactive segmentation for fine-grained and efficient editing.

Neural networks : the official journal of the International Neural Network Society Jul 1, 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...
Algorithms Neural Networks, Computer Rotation Humans
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TUNeS: A Temporal U-Net With Self-Attention for Video-Based Surgical Phase Recognition.

IEEE transactions on bio-medical engineering Jul 1, 2025
OBJECTIVE: To enable context-aware computer assistance in the operating room of the future, cognitive systems need to understand automatically which surgical phase is being performed by the medical team. The primary source of information for surgical...
Humans Neural Networks, Computer Surgery, Computer-Assisted Video Recording Algorithms Image Processing, Computer-Assisted
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Exploiting instance-label dynamics through reciprocal anchored contrastive learning for few-shot relation extraction.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
In the domain of Few-shot Relation Extraction (FSRE), the primary objective is to distill relational facts from limited labeled datasets. This task has recently witnessed significant advancements through the integration of Pre-trained Language Models...
Learning Language Semantics Neural Networks, Computer Machine Learning Humans
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Memory flow-controlled knowledge tracing with three stages.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Knowledge Tracing (KT), as a pivotal technology in intelligent education systems, analyzes students' learning data to infer their knowledge acquisition and predict their future performance. Recent advancements in KT recognize the importance of memory...
Humans Knowledge Memory Learning Neural Networks, Computer Memory, Short-Term Memory, Long-Term
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