Vocations&LearningVeillard, L. (2012). Transfer of learning as a specific case of transition between learning contexts in a french work-integrated learning programme. Vocations and Learning, 1-26. https://doi.org/10.1007/s12186-012- 9076-y...
Furthermore, we aim to compare the optimal source-target task/domain combination with a common benchmark in transfer learning research: pre-training on ImageNet. 2. Related work 2.1. Transfer learning The goal of transfer learning is to pre-train a model on a source task and reuse the ...
. In addition, I document children's difficulty learning about causally impossible events, such as pulling with strings that do not appear to make contact with the object they are pulling. Even young children transfer on the basis of deep structural principles rather than perceptual features when ...
These results suggest that there is interocular transfer of route-specific learning with respect to visual stimuli that function as navigational "signposts".doi:10.1007/s003590050219S. W. ZhangM. LehrerM. V. SrinivasanSpringer-VerlagJournal of Comparative Physiology A...
We consider the problem of channel estimation in low-resolution multiple-input multiple-output (MIMO) systems operating at millimeter wave (mmWave) and present a deep transfer learning (DTL) approach that exploits previously trained models to speed up site adaptation. The proposed model is composed ...
et al. DeepC: predicting 3D genome folding using megabase-scale transfer learning. Nat. Methods 17, 1118–1124 (2020). Article CAS PubMed PubMed Central Google Scholar Zhou, J. Sequence-based modeling of three-dimensional genome architecture from kilobase to chromosome scale. Nat. Genet. 54...
Program in Emerging Infectious Disease, Duke-National University of Singapore Medical School, Singapore, Singapore Charles-Antoine Dutertre Singhealth Translational Immunology and Inflammation Centre, Singapore, Singapore Charles-Antoine Dutertre & Florent Ginhoux ...
Patient-specific dose prediction improves the efficiency and quality of radiation treatment planning and reduces the time required to find the optimal plan. In this study, a patient-specific dose prediction model was developed for a left-sided breast clinical case using deep learning, and its perfor...
to exploit the improvement (e.g., strength gains) and ensure transfer to function (Eng and Tang, 2007). Selection of tasks must also ensure there is sufficient challenge to the necessary elements of balance and gait control to induce appropriate motor learning adaptations. For example, focusing...
Transfer learning enables the adaptation of large-scale multilingual models to not only low-resource languages but also to more specific speaker groups. However, fine-tuning on data from new domains is usually accompanied by a decrease in perfor- mance on the original domain. Therefore, in our ...