AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 241 to 250 of 780 articles

Deep Neural Message Passing With Hierarchical Layer Aggregation and Neighbor Normalization.

IEEE transactions on neural networks and learning systems Nov 30, 2022
As a unified framework for graph neural networks, message passing-based neural network (MPNN) has attracted a lot of research interest and has been shown successfully in a number of domains in recent years. However, because of over-smoothing and vani...
Neural Networks, Computer Algorithms
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Network Pruning Using Adaptive Exemplar Filters.

IEEE transactions on neural networks and learning systems Nov 30, 2022
Popular network pruning algorithms reduce redundant information by optimizing hand-crafted models, and may cause suboptimal performance and long time in selecting filters. We innovatively introduce adaptive exemplar filters to simplify the algorithm ...
Neural Networks, Computer Algorithms
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Tracking by Joint Local and Global Search: A Target-Aware Attention-Based Approach.

IEEE transactions on neural networks and learning systems Oct 27, 2022
Tracking-by-detection is a very popular framework for single-object tracking that attempts to search the target object within a local search window for each frame. Although such a local search mechanism works well on simple videos, however, it makes ...
Neural Networks, Computer Algorithms Video Recording
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What and Where: Learn to Plug Adapters via NAS for Multidomain Learning.

IEEE transactions on neural networks and learning systems Oct 27, 2022
As an important and challenging problem, multidomain learning (MDL) typically seeks a set of effective lightweight domain-specific adapter modules plugged into a common domain-agnostic network. Usually, existing ways of adapter plugging and structure...
Neural Networks, Computer Software Learning
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Orientation-Preserving Rewards' Balancing in Reinforcement Learning.

IEEE transactions on neural networks and learning systems Oct 27, 2022
Auxiliary rewards are widely used in complex reinforcement learning tasks. However, previous work can hardly avoid the interference of auxiliary rewards on pursuing the main rewards, which leads to the destruction of the optimal policy. Thus, it is c...
Neural Networks, Computer Computer Simulation Learning Reward Reinforcement, Psychology
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Developmental Network-2: The Autonomous Generation of Optimal Internal-Representation Hierarchy.

IEEE transactions on neural networks and learning systems Oct 27, 2022
It is very challenging for machine learning methods to reach the goal of general-purpose learning since there are so many complicated situations in different tasks. The learning methods need to generate flexible internal representations for all scena...
Neural Networks, Computer Machine Learning Neurons Recognition, Psychology
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Ensemble Support Vector Recurrent Neural Network for Brain Signal Detection.

IEEE transactions on neural networks and learning systems Oct 27, 2022
The brain-computer interface (BCI) P300 speller analyzes the P300 signals from the brain to achieve direct communication between humans and machines, which can assist patients with severe disabilities to control external machines or robots to complet...
Humans Neural Networks, Computer Algorithms Brain Support Vector Machine Electroencephalography Brain-Computer Interfaces Event-Related Potentials, P300
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Custom Hardware Architectures for Deep Learning on Portable Devices: A Review.

IEEE transactions on neural networks and learning systems Oct 27, 2022
The staggering innovations and emergence of numerous deep learning (DL) applications have forced researchers to reconsider hardware architecture to accommodate fast and efficient application-specific computations. Applications, such as object detecti...
Neural Networks, Computer Software Computers Deep Learning
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Deep Rating and Review Neural Network for Item Recommendation.

IEEE transactions on neural networks and learning systems Oct 27, 2022
To alleviate the sparsity issue, many recommender systems have been proposed to consider the review text as the auxiliary information to improve the recommendation quality. Despite success, they only use the ratings as the ground truth for error back...
Neural Networks, Computer Semantics
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Complementary Memtransistor-Based Multilayer Neural Networks for Online Supervised Learning Through (Anti-)Spike-Timing-Dependent Plasticity.

IEEE transactions on neural networks and learning systems Oct 27, 2022
We propose a complete hardware-based architecture of multilayer neural networks (MNNs), including electronic synapses, neurons, and periphery circuitry to implement supervised learning (SL) algorithm of extended remote supervised method (ReSuMe). In ...
Neural Networks, Computer Neuronal Plasticity Models, Neurological Supervised Machine Learning Synapses
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