Results 31 to 40 of about 7,496 (160)
Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding
Future Internet, 2022 In recent years, deep learning-based sentiment analysis has received attention mainly because of the rise of social media and e-commerce. In this paper, we showcase the fact that the polarity detection and subjectivity detection subtasks of sentiment ...
Ranjan Satapathy +2 more
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Optimal Schedules in Multitask Motor Learning
Neural Computation, 2016 Although scheduling multiple tasks in motor learning to maximize long-term retention of performance is of great practical importance in sports training and motor rehabilitation after brain injury, it is unclear how to do so. We propose here a novel theoretical approach that uses optimal control theory and computational models of motor adaptation to ...
Lee, Jeong Yoon +4 more
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Improve the Performance and Stability of Incremental Learning by a Similarity Harmonizing Mechanism
IEEE Access, 2022 Incremental learning involves processing continuous streams of information in real time without much incorporation of previous knowledge. It is crucial to humans and machine learning models.
Jing Ma, Mingjie Liao, Lei Zhang
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, 2018 Multitask learning has shown promising performance in many applications and many multitask models have been proposed. In order to identify an effective multitask model for a given multitask problem, we propose a learning framework called learning to multitask (L2MT).
Zhang, Yu, Wei, Ying, Yang, Qiang
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Collaborative Online Multitask Learning
IEEE Transactions on Knowledge and Data Engineering, 2014 We study the problem of online multitask learning for solving multiple related classification tasks in parallel, aiming at classifying every sequence of data received by each task accurately and efficiently. One practical example of online multitask learning is the micro-blog sentiment detection on a group of users, which classifies micro-blog posts ...
LI, Guangxia +4 more
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Multitask Learning of Time-Frequency CNN for Sound Source Localization
IEEE Access, 2019 Sound source localization (SSL) is an important technique for many audio processing systems, such as speech enhancement/recognition and human-robot interaction.
Cheng Pang, Hong Liu, Xiaofei Li
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Deep Learning-Enabled Multitask System for Exercise Recognition and Counting
Multimodal Technologies and Interaction, 2021 Exercise is a prevailing topic in modern society as more people are pursuing a healthy lifestyle. Physical activities provide significant benefits to human well-being from the inside out.
Qingtian Yu +3 more
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Distributed Multitask Learning
, 2015 We consider the problem of distributed multi-task learning, where each machine learns a separate, but related, task. Specifically, each machine learns a linear predictor in high-dimensional space,where all tasks share the same small support. We present a communication-efficient estimator based on the debiased lasso and show that it is comparable with ...
Wang, Jialei +2 more
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Confidence Weighted Multitask Learning
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 Traditional online multitask learning only utilizes the firstorder information of the datastream. To remedy this issue, we propose a confidence weighted multitask learning algorithm, which maintains a Gaussian distribution over each task model to guide online learning process.
Yang, Peng +3 more
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Identification of Social-Media Platform of Videos through the Use of Shared Features
Journal of Imaging, 2021 Videos have become a powerful tool for spreading illegal content such as military propaganda, revenge porn, or bullying through social networks. To counter these illegal activities, it has become essential to try new methods to verify the origin of ...
Luca Maiano +3 more
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