Results 61 to 70 of about 1,057,004 (267)

Survival by Race and Ethnicity in Children and Adolescents/Young Adults With Relapsed/Refractory Hodgkin Lymphoma: A Pooled Analysis of Children's Oncology Group Trials

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Despite 5‐year survival rates of over 90% among children and adolescents/young adults (CAYAs) with classic Hodgkin lymphoma (cHL), 15%–20% relapse after frontline therapy. Prior analysis of frontline Children's Oncology Group (COG) clinical trials demonstrated that, despite similar rates of relapse, non‐Hispanic Black (NHB) and ...
Mallorie B. Heneghan   +14 more
wiley   +1 more source

Self-reflection Orients Visual Attention Downward

open access: yesFrontiers in Psychology, 2017
Previous research has demonstrated abstract concepts associated with spatial location (e.g., God in the Heavens) could direct visual attention upward or downward, because thinking about the abstract concepts activates the corresponding vertical ...
Yi Liu, Yi Liu, Yu Tong, Hong Li
doaj   +1 more source

Exclusive Self Attention

open access: yesCoRR
We introduce exclusive self attention (XSA), a simple modification of self attention (SA) that improves Transformer's sequence modeling performance. The key idea is to constrain attention to capture only information orthogonal to the token's own value vector (thus excluding information of self position), encouraging better context modeling.
openaire   +2 more sources

A Structured Self-attentive Sentence Embedding

open access: yesCoRR, 2017
This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention. Instead of using a vector, we use a 2-D matrix to represent the embedding, with each row of the matrix attending on a different part of the sentence. We also propose a self-attention mechanism and a special regularization term for the model.
Zhouhan Lin   +6 more
openaire   +3 more sources

An [Imperfect] Case for Dyadic Research in Pediatric Psychosocial Oncology

open access: yes
Pediatric Blood &Cancer, EarlyView.
Stephanie M. Nanos   +2 more
wiley   +1 more source

ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Children with cancer living in poverty experience worse survival and quality of life. Interventions connecting low‐income families to benefits (e.g., Supplemental Nutrition Assistance Program [SNAP] improve health outcomes; yet nearly 50% of SNAP‐eligible pediatric oncology families are unenrolled.
Puja J. Umaretiya   +11 more
wiley   +1 more source

External Quantum Self-Attention Model

open access: yesIEEE Access
Self-attention mechanisms have revolutionized machine learning domains. Quantum self-attention models have emerged as promising extensions, yet they suffer from quadratic computational complexity like their classical counterparts.
Fu Chen   +3 more
doaj   +1 more source

Self-Attention with Relative Position Representations [PDF]

open access: yesProceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), 2018
Relying entirely on an attention mechanism, the Transformer introduced by Vaswani et al. (2017) achieves state-of-the-art results for machine translation. In contrast to recurrent and convolutional neural networks, it does not explicitly model relative or absolute position information in its structure.
Peter Shaw 0004   +2 more
openaire   +2 more sources

Misperception of Body Weight After Childhood Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Misperception of body weight can negatively impact the weight management efforts of childhood cancer survivors (CCSs). Both being overweight or underweight are associated with chronic health conditions commonly observed in CCS; therefore, accurate weight perception is critical for reducing long‐term health risks.
Fabiën N. Belle   +8 more
wiley   +1 more source

A lightweight transformer with linear self‐attention for defect recognition

open access: yesElectronics Letters
Visual defect recognition techniques based on deep learning models are crucial for modern industrial quality inspection. The backbone, serving as the primary feature extraction component of the defect recognition model, has not been thoroughly exploited.
Yuwen Zhai   +3 more
doaj   +1 more source

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