Results 51 to 60 of about 4,852,612 (375)
Exploring and Predicting Transferability across NLP Tasks [PDF]
Conference on Empirical Methods in Natural Language Processing, 2020 Recent advances in NLP demonstrate the effectiveness of training large-scale language models and transferring them to downstream tasks. Can fine-tuning these models on tasks other than language modeling further improve performance?
Tu Vu +7 more
semanticscholar +1 more source
Molecules, 2018 Simple sequence repeats (SSRs) or microsatellite markers derived from expressed sequence tags (ESTs) are routinely used for molecular assisted-selection breeding, comparative genomic analysis, and genetic diversity studies. In this study, we investigated
Puyue Ouyang +5 more
doaj +1 more source
Graph Neural Networks: Architectures, Stability, and Transferability [PDF]
Proceedings of the IEEE, 2020 Graph neural networks (GNNs) are information processing architectures for signals supported on graphs. They are presented here as generalizations of convolutional neural networks (CNNs) in which individual layers contain banks of graph convolutional ...
Luana Ruiz, F. Gama, Alejandro Ribeiro
semanticscholar +1 more source
EQUIPT: protocol of a comparative effectiveness research study evaluating cross-context transferability of economic evidence on tobacco control [PDF]
, 2014 This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative ...
Andrews, F +18 more
core +9 more sources
Black-Box Universal Adversarial Attack for DNN-Based Models of SAR Automatic Target Recognition
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSynthetic aperture radar automatic target recognition (SAR-ATR) models based on deep neural networks (DNNs) are vulnerable to attacks of adversarial examples. Universal adversarial attack algorithms can help evaluate and improve the robustness of the SAR-
Xuanshen Wan +5 more
doaj +1 more source
To Transfer or Not to Transfer: Unified Transferability Metric and Analysis
IEEE Transactions on CyberneticsIn transfer learning, transferability is one of the most fundamental problems, which aims to evaluate the effectiveness of arbitrary transfer tasks. Existing research focuses on classification tasks and neglects domain or task differences. More importantly, there is a lack of research to determine whether to transfer or not.
Qianshan Zhan, Xiao-Jun Zeng, Qian Wang
openaire +3 more sources
Applied Sciences, 2017 The creation of as-built Building Information Models requires the acquisition of the as-is state of existing buildings. Laser scanners are widely used to achieve this goal since they permit to collect information about object geometry in form of point ...
Hélène Macher +2 more
doaj +1 more source
Transferability and Generalization in Qualitative Research
Research on social work practiceThis article examines the development of the concept of transferability in qualitative research and how it is similar to and different from generalization. Transferability is a process of abstraction used to apply information drawn from specific persons,
J. Drisko
semanticscholar +1 more source
YouthSport and physical activity is often utilized as a tool for engagement within interventions designed to support wider social and personal change for marginalized young people.
Haydn Morgan
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Remote Sensing, 2020 The remote sensing based mapping of land cover at extensive scales, e.g., of whole continents, is still a challenging task because of the need for sophisticated pipelines that combine every step from data acquisition to land cover classification ...
Qingyu Li +4 more
doaj +1 more source