Results 31 to 40 of about 2,818,371 (325)

Emergent linguistic structure in artificial neural networks trained by self-supervision

Proceedings of the National Academy of Sciences of the United States of America, 2020
This paper explores the knowledge of linguistic structure learned by large artificial neural networks, trained via self-supervision, whereby the model simply tries to predict a masked word in a given context. Human language communication is via sequences
Christopher D. Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, Omer Levy   +4 more
semanticscholar   +1 more source

Cumulative Risk Assessment of Dietary Exposure to Pesticide Residues in Brown Rice (Oryza sativa L.) from the Three Main Rice-Growing Regions in China during 2016–2020

Journal of Food Quality, 2022
The residual levels of 25 monitored pesticides in 6,229 brown rice samples obtained from the 17 provinces of the three main rice-growing regions in China during 2016–2020 were analyzed, and the cumulative risks of chronic and acute exposure to pesticides
Zhenzhen Cao, Xiaolong Zheng, Meiyan Guan, Wanyue Zhang, Xiaoyan Lin, Xiaohua Zhao, Mingxue Chen   +6 more
doaj   +1 more source

Ordinal Depth Supervision for 3D Human Pose Estimation [PDF]

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Our ability to train end-to-end systems for 3D human pose estimation from single images is currently constrained by the limited availability of 3D annotations for natural images. Most datasets are captured using Motion Capture (MoCap) systems in a studio
G. Pavlakos, Xiaowei Zhou, Kostas Daniilidis   +2 more
semanticscholar   +1 more source

SUPERVISION OF SUPERVISION

Psihoterapija, 2017
The paper describes how the supervisor’s awareness of their covert processes, thoughts, and feelings increased as a direct result of the work in the median group and in the supervision of supervision. When the supervisor misses the parallel process in the supervision group, it can be discovered in the supervision of supervision and during self-analysis.
openaire   +3 more sources

Supervised Hebbian learning

Europhysics Letters, 2023
Abstract In neural network's literature, Hebbian learning traditionally refers to the procedure by which the Hopfield model and its generalizations store archetypes (i.e., definite patterns that are experienced just once to form the synaptic matrix).
Francesco Alemanno, Miriam Aquaro, Ido Kanter, Adriano Barra, Elena Agliari   +4 more
openaire   +4 more sources

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis, Okeleji Olayinka, Mariam Z. Quraishi, Lakshmi V. Srivaths, Deborah L. Brown, Neethu M. Menon, Ricardo A. Mosquera, Ashwin P. Patel, James M. Stark, Aravind Yadav   +9 more
wiley   +1 more source

Personalizing the Pediatric Hematology/Oncology Fellowship: Adapting Training for the Next Generation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The pediatric hematology‐oncology fellowship training curriculum has not substantially changed since its inception. The first year of training is clinically focused, and the second and third years are devoted to scholarship. However, this current structure leaves many fellows less competitive in the current job market, resulting in ...
Scott C. Borinstein, Melissa J. Rose, Scott Moerdler, Richard Ho   +3 more
wiley   +1 more source

Neural Ranking Models with Weak Supervision [PDF]

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Despite the impressive improvements achieved by unsupervised deep neural networks in computer vision and NLP tasks, such improvements have not yet been observed in ranking for information retrieval. The reason may be the complexity of the ranking problem,
Mostafa Dehghani, Hamed Zamani, A. Severyn, J. Kamps, W. Bruce Croft   +4 more
semanticscholar   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Nutritional and Behavioral Intervention for Long‐Term Childhood Acute Leukemia Survivors With Metabolic Syndrome

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine, Béliard Sophie, Renard Cécile, Caussy Cyrielle, Hamidou Zeinab, Romano David, Gacem Mélanie, Petit Arnaud, Saultier Paul, Borentain Patrick, Michel Gérard   +10 more
wiley   +1 more source