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The Impact of Migration Processes on Development [PDF]
Eastern European Journal of Regional Studies, 2021 : In recent years, international migration has been growing rapidly and has reached over 272 million people or 3.5% of the world's population, and 740 million people are considered internal migrants (IOM, 2020). Migration has become a defining feature of
Dorin VACULOVSCHI
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Want To Reduce Labeling Cost? GPT-3 Can Help [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 Data annotation is a time-consuming and labor-intensive process for many NLP tasks. Although there exist various methods to produce pseudo data labels, they are often task-specific and require a decent amount of labeled data to start with.
Shuohang Wang +4 more
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CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT [PDF]
Conference on Empirical Methods in Natural Language Processing, 2020 The extraction of labels from radiology text reports enables large-scale training of medical imaging models. Existing approaches to report labeling typically rely either on sophisticated feature engineering based on medical domain knowledge or manual ...
Akshay Smit +5 more
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The effect of crosslink density on the cold crystallization behavior of polybutadiene elastomers
eXPRESS Polymer Letters, 2023 This report presents an insightful investigation of the cold crystallization behavior of sulfur-crosslinked polybutadiene elastomers. The influence of crosslink density on the cold crystallization activities of sulfur-crosslinked polybutadiene rubber (BR)
Arpan Datta Sarma +3 more
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SPICE: Semantic Pseudo-Labeling for Image Clustering [PDF]
IEEE Transactions on Image Processing, 2021 The similarity among samples and the discrepancy among clusters are two crucial aspects of image clustering. However, current deep clustering methods suffer from inaccurate estimation of either feature similarity or semantic discrepancy.
Chuang Niu, Hongming Shan, Ge Wang
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End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF [PDF]
Annual Meeting of the Association for Computational Linguistics, 2016 State-of-the-art sequence labeling systems traditionally require large amounts of task-specific knowledge in the form of hand-crafted features and data pre-processing.
Xuezhe Ma, E. Hovy
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ОРГАНІЗАЦІЯ УПРАВЛІНСЬКОЇ ПРАКТИКИ МАЙБУТНІХ МАГІСТРІВ З УПРАВЛІННЯ ЗАКЛАДОМ ОСВІТИ У ВНЗ «УНІВЕРСИТЕТ ІМЕНІ АЛЬФРЕДА НОБЕЛЯ» [PDF]
Вісник Університету імені Альфреда Нобеля. Серія Педагогіка і психология, 2020 У статті розкрито значення управлінської практики у процесі професійної підготовки майбутніх магістрів з управління закладом освіти. На прикладі ВНЗ «Університет імені Альфреда Нобеля» розкриваються особливості організації управлінської практики ...
Н.П. ВОЛКОВА +1 more
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Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning [PDF]
IEEE International Joint Conference on Neural Network, 2019 Semi-supervised learning, i.e. jointly learning from labeled and unlabeled samples, is an active research topic due to its key role on relaxing human supervision. In the context of image classification, recent advances to learn from unlabeled samples are
Eric Arazo +4 more
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Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels [PDF]
Computer Vision and Pattern Recognition, 2021 ImageNet has been the most popular image classification benchmark, but it is also the one with a significant level of label noise. Recent studies have shown that many samples contain multiple classes, despite being assumed to be a single-label benchmark.
Sangdoo Yun +5 more
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Ukrainian feminism as a factor of social changes
Cхід, 2023 The article discusses the theoretical foundations of Ukrainian feminism, substantiates its practical significance for social changes in society. The subject of research attention is the individual and collective dimensions of feminism, the influence of ...
Ярослав Пасько +1 more
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