Results 11 to 20 of about 8,510,788 (298)
Enhancing Self-Training Methods
CoRR, 2023 Semi-supervised learning approaches train on small sets of labeled data along with large sets of unlabeled data. Self-training is a semi-supervised teacher-student approach that often suffers from the problem of "confirmation bias" that occurs when the student model repeatedly overfits to incorrect pseudo-labels given by the teacher model for the ...
Aswathnarayan Radhakrishnan +5 more
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Is a fatty pancreas a banal lesion? [PDF]
Journal of Ultrasonography, 2016 So far, a fatty pancreas has been related to obesity and the ageing processes in the body. The current list of pathogenetic factors of the condition is clearly extended with genetically conditioned diseases (cystic fibrosis, Shwachman-Diamond syndrome ...
Andrzej Smereczyński +1 more
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Soil Temperature Prediction via Self-Training: Izmir Case
Journal of Agricultural Sciences, 2022 This paper proposes a new model, called Soil Temperature prediction via Self-Training (STST), which successfully estimates the soil temperature at various soil depths by using machine learning methods.
Göksu Tüysüzoğlu +2 more
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Applied Sciences, 2023 Emotion recognition is a vital task within Natural Language Processing (NLP) that involves automatically identifying emotions from text. As the need for specialized and nuanced emotion recognition models increases, the challenge of fine-grained emotion ...
Maha Jarallah Althobaiti
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ALSEE: a framework for attribute-level sentiment element extraction towards product reviews
Connection Science, 2022 Attribute-level sentiment element extraction aims to obtain the word pair from texts, which mainly obtain fine-grained evaluation information in the attribute level.
Hanqing Xu +3 more
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Confidence Regularized Self-Training [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 Accepted to ICCV 2019 (Oral)
Yang Zou 0003 +4 more
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Self-Training with Differentiable Teacher
Findings of the Association for Computational Linguistics: NAACL 2022, 2022 NAACL 2022 (Findings)
Simiao Zuo +7 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Building segmentation is a classical and challenging task in high-resolution remote sensing imagery. This approach has achieved remarkable performance based on a fully convolutional network with adequate pixel-wise annotations.
Xuedong Yao +3 more
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Self-training for biomedical parsing [PDF]
Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies Short Papers - HLT '08, 2008 Parser self-training is the technique of taking an existing parser, parsing extra data and then creating a second parser by treating the extra data as further training data. Here we apply this technique to parser adaptation. In particular, we self-train the standard Charniak/Johnson Penn-Treebank parser using unlabeled biomedical abstracts.
David McClosky, Eugene Charniak
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An Effective Tumor Classification With Deep Forest and Self-Training
IEEE Access, 2021 In recent years, tumor classification based on the gene expression omnibus has become a continuous attention field in the area of bioinformatics. Integration machine learning techniques are an efficient methods to solve these problems.
Zhanbo Chen, Xiaojun Sun, Lili Shen
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