AIMC Topic: Learning

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Continual learning in the presence of repetition.

Neural networks : the official journal of the International Neural Network Society Nov 20, 2024
Continual learning (CL) provides a framework for training models in ever-evolving environments. Although re-occurrence of previously seen objects or tasks is common in real-world problems, the concept of repetition in the data stream is not often con...
Learning Humans Neural Networks, Computer Machine Learning
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Ethical and pedagogical implications of AI in language education: An empirical study at Ha'il University.

Acta psychologica Nov 16, 2024
This study aims to evaluate the role of AI as an educational tool from an ethical and pedagogical perspective as it delves into the perceptions of the teaching community whose resistance to technology integration into conventionally managed classroom...
Teaching Humans Faculty Artificial Intelligence Female Surveys and Questionnaires Middle Aged Universities Adult Language Students Male Learning
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FedART: A neural model integrating federated learning and adaptive resonance theory.

Neural networks : the official journal of the International Neural Network Society Nov 4, 2024
Federated Learning (FL) has emerged as a promising paradigm for collaborative model training across distributed clients while preserving data privacy. However, prevailing FL approaches aggregate the clients' local models into a global model through m...
Neural Networks, Computer Machine Learning Humans Cluster Analysis Algorithms Learning
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HirMTL: Hierarchical Multi-Task Learning for dense scene understanding.

Neural networks : the official journal of the International Neural Network Society Nov 4, 2024
In the realm of artificial intelligence, simultaneous multi-task learning is crucial, particularly for dense scene understanding. To address this, we introduce HirMTL, a novel hierarchical multi-task learning framework designed to enhance dense scene...
Artificial Intelligence Algorithms Humans Comprehension Learning Neural Networks, Computer
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Lifelong Learning With Cycle Memory Networks.

IEEE transactions on neural networks and learning systems Oct 29, 2024
Learning from a sequence of tasks for a lifetime is essential for an agent toward artificial general intelligence. Despite the explosion of this research field in recent years, most work focuses on the well-known catastrophic forgetting issue. In con...
Memory, Long-Term Learning Memory Neural Networks, Computer Artificial Intelligence Humans
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Highly valued subgoal generation for efficient goal-conditioned reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Oct 28, 2024
Goal-conditioned reinforcement learning is widely used in robot control, manipulating the robot to accomplish specific tasks by maximizing accumulated rewards. However, the useful reward signal is only received when the desired goal is reached, leadi...
Robotics Algorithms Humans Reinforcement, Psychology Reward Learning Goals Neural Networks, Computer
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Medical imaging and radiation science students' use of artificial intelligence for learning and assessment.

Radiography (London, England : 1995) Oct 19, 2024
INTRODUCTION: Artificial intelligence has permeated all aspects of our existence, and medical imaging has shown the burgeoning use of artificial intelligence in clinical environments. However, there are limited empirical studies on radiography studen...
Qualitative Research Educational Measurement Diagnostic Imaging Students, Medical Male Curriculum Education, Medical, Undergraduate Focus Groups Radiology South Africa Humans Learning Female Artificial Intelligence Technology, Radiologic
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Mastery Learning Guided by Artificial Intelligence Is Superior to Directed Self-Regulated Learning in Flexible Bronchoscopy Training: An RCT.

Respiration; international review of thoracic diseases Oct 17, 2024
INTRODUCTION: Simulation-based training has proven effective for learning flexible bronchoscopy. However, no studies have tested the efficacy of training toward established proficiency criteria, i.e., mastery learning (ML). We wish to test the effect...
Artificial Intelligence Learning Female Humans Clinical Competence Bronchoscopy Adult Simulation Training Male
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Adaptive indefinite kernels in hyperbolic spaces.

Neural networks : the official journal of the International Neural Network Society Oct 16, 2024
Learning embeddings in hyperbolic space has gained increasing interest in the community, due to its property of negative curvature, as a way of encoding data hierarchy. Recent works investigate the improvement of the representation power of hyperboli...
Learning Neural Networks, Computer Machine Learning Algorithms Humans
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Generalization limits of Graph Neural Networks in identity effects learning.

Neural networks : the official journal of the International Neural Network Society Oct 10, 2024
Graph Neural Networks (GNNs) have emerged as a powerful tool for data-driven learning on various graph domains. They are usually based on a message-passing mechanism and have gained increasing popularity for their intuitive formulation, which is clos...
Generalization, Psychological Humans Algorithms Neural Networks, Computer Learning
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