Curriculum learning for human compositional generalization
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2205582119
Abstract: Significance In novel situations, people need to repurpose past knowledge to guide behavior (generalization). How they do this remains a mystery in cognitive science. Moreover, building machines that can achieve this is a key goal… read more here.
Keywords: curriculum learning; human compositional; learning human; compositional generalization ... See more keywords
Reinforcement Learning-Based Path Generation Using Sequential Pattern Reduction and Self-Directed Curriculum Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3015245
Abstract: Recent advancements in robots and deep learning have led to active research in human-robot interaction. However, non-physical interaction using visual devices such as laser pointers has gained less attention than physical interaction using complex robots… read more here.
Keywords: self directed; reinforcement learning; curriculum learning; curriculum ... See more keywords
Adaptive Curriculum Learning for Video Captioning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3160451
Abstract: A portion of the data in video captioning datasets are noisy and unsuitable for models to learn at early stages, e.g., there could be a generic 4-word-long caption lacking distinctive details of video content and… read more here.
Keywords: curriculum learning; adaptive curriculum; learning video; video captioning ... See more keywords
Graph Attention-based Curriculum Learning for Mental Healthcare Classification.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3274486
Abstract: Research has examined the use of user-generated data from online media as a means of identifying and diagnosing depression as a serious mental health issue that can have a significant impact on an individual's daily… read more here.
Keywords: curriculum learning; depression; based curriculum; model ... See more keywords
Unsupervised Radio Frequency Fingerprint Identification Based on Curriculum Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2023.3248127
Abstract: Radio frequency fingerprint (RFF) identification aims to identify emitters by extracting the inherent physical-layer features. Despite the significant accuracy achieved in a supervised learning manner, few works have focused on unsupervised RFF identification. To this… read more here.
Keywords: curriculum learning; identification; frequency fingerprint; based curriculum ... See more keywords
Feedback Network With Curriculum Learning for Earthquake Event Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3097041
Abstract: In this letter, we propose an earthquake event classification model utilizing a feedback network and curriculum learning (CL). In particular, we propose the CL method with a feature concatenation using gated convolution so that CL… read more here.
Keywords: curriculum learning; earthquake event; feedback network; event classification ... See more keywords
Statistical Wide-Sense Curriculum Learning for Neural Network-Based Pre-Distorter in Coherent Optical Transmitters
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2022.3179765
Abstract: Optical communications systems’ performance is limited by physical layer nonlinearities inherent in some of their transmitter components. In order to overcome some of these limitations, several approaches utilizing artificial neural networks to digitally pre-distort the… read more here.
Keywords: neural network; network; curriculum learning; network based ... See more keywords
Curriculum Learning-Based Approaches for End-to-End Gas Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3205901
Abstract: Deep learning has demonstrated great potential in the field of gas recognition using an electronic nose. However, owing to the limited resources of embedded devices, they can only meet the computing and storage requirements of… read more here.
Keywords: gas; end end; curriculum learning; gas recognition ... See more keywords
From Less to More: Progressive Generalized Zero-Shot Detection With Curriculum Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3151073
Abstract: Object detection, as one of the most important environment perception tasks for traffic safety in intelligent transportation systems, has been widely investigated recently. However, most of the researches focus on the fully supervised scenario, and… read more here.
Keywords: generalized zero; curriculum learning; shot detection; detection ... See more keywords
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "International journal of neural systems"
DOI: 10.1142/s0129065722500435
Abstract: A practical problem in supervised deep learning for medical image segmentation is the lack of labeled data which is expensive and time-consuming to acquire. In contrast, there is a considerable amount of unlabeled data available… read more here.
Keywords: curriculum learning; semi supervised; task; segmentation ... See more keywords
Curriculum Reinforcement Learning Based on K-Fold Cross Validation
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24121787
Abstract: With the continuous development of deep reinforcement learning in intelligent control, combining automatic curriculum learning and deep reinforcement learning can improve the training performance and efficiency of algorithms from easy to difficult. Most existing automatic… read more here.
Keywords: based fold; curriculum learning; reinforcement learning; cross ... See more keywords