AIMC Topic: Learning

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TaskDrop: A competitive baseline for continual learning of sentiment classification.

Neural networks : the official journal of the International Neural Network Society Sep 20, 2022
In this paper, we study the multi-task sentiment classification problem in the continual learning setting, i.e., a model is sequentially trained to classify the sentiment of reviews of products in a particular category. The use of common sentiment wo...
Machine Learning Learning Knowledge Sentiment Analysis
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A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information.

Sensors (Basel, Switzerland) Sep 20, 2022
Social-network-based recommendation algorithms leverage rich social network information to alleviate the problem of data sparsity and boost the recommendation performance. However, traditional social-network-based recommendation algorithms ignore hig...
Neural Networks, Computer Algorithms Learning Social Networking Records
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Construction of College Students' Employment Quality Evaluation Model System under the Background of Digitalization.

Journal of environmental and public health Sep 20, 2022
In the era of knowledge economy, human resources are being valued by various countries and regions. The report of the 19th National Congress of the Communist Party of China pointed out that "talent is a strategic resource for realizing national rejuv...
Humans Artificial Intelligence Learning Students Universities Employment
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Multimodal Weibull Variational Autoencoder for Jointly Modeling Image-Text Data.

IEEE transactions on cybernetics Sep 19, 2022
For multimodal representation learning, traditional black-box approaches often fall short of extracting interpretable multilayer hidden structures, which contribute to visualize the connections between different modalities at multiple semantic levels...
Machine Learning Learning Models, Theoretical
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Optimal Bounded Ellipsoid Identification With Deterministic and Bounded Learning Gains: Design and Application to Euler-Lagrange Systems.

IEEE transactions on cybernetics Sep 19, 2022
This article proposes an effective optimal bounded ellipsoid (OBE) identification algorithm for neural networks to reconstruct the dynamics of the uncertain Euler-Lagrange systems. To address the problem of unbounded growth or vanishing of the learni...
Neural Networks, Computer Algorithms Learning Nonlinear Dynamics
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Addi-Reg: A Better Generalization-Optimization Tradeoff Regularization Method for Convolutional Neural Networks.

IEEE transactions on cybernetics Sep 19, 2022
In convolutional neural networks (CNNs), generating noise for the intermediate feature is a hot research topic in improving generalization. The existing methods usually regularize the CNNs by producing multiplicative noise (regularization weights), c...
Neural Networks, Computer Research Design Learning
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Deep Latent-Variable Kernel Learning.

IEEE transactions on cybernetics Sep 19, 2022
Deep kernel learning (DKL) leverages the connection between the Gaussian process (GP) and neural networks (NNs) to build an end-to-end hybrid model. It combines the capability of NN to learn rich representations under massive data and the nonparametr...
Neural Networks, Computer Algorithms Learning Models, Theoretical
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Wasserstein Adversarial Regularization for Learning With Label Noise.

IEEE transactions on pattern analysis and machine intelligence Sep 14, 2022
Noisy labels often occur in vision datasets, especially when they are obtained from crowdsourcing or Web scraping. We propose a new regularization method, which enables learning robust classifiers in presence of noisy data. To achieve this goal, we p...
Neural Networks, Computer Algorithms Learning Signal-To-Noise Ratio
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Lifelong Teacher-Student Network Learning.

IEEE transactions on pattern analysis and machine intelligence Sep 14, 2022
A unique cognitive capability of humans consists in their ability to acquire new knowledge and skills from a sequence of experiences. Meanwhile, artificial intelligence systems are good at learning only the last given task without being able to remem...
Humans Artificial Intelligence Algorithms Learning Students Education, Continuing
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Integrating Mental Health Education into French Teaching in University Based on Artificial Intelligence Technology.

Journal of environmental and public health Sep 12, 2022
In recent years, there has been a lot of news about college students committing suicide. In the university stage students, self-esteem is stronger and more sensitive, and the ability to withstand pressure is weak. At the same time, college students a...
Humans Artificial Intelligence Technology Learning Universities Health Education
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