Style-Agnostic Networks (SagNets) for Domain Generalization. It is also an extension of our method which won the first place in Semi-Supervised Domain Adaptation ofVisual Domain Adaptation (VisDA)-2019 Challenge. Details are described inReducing Domain Gap by Reducing Style Bias,CVPR 2021 (Oral)...
however, gold-standard treatments are only effective for ~50% of youth. Accordingly, there is a critical need to develop novel interventions, particularly ones that target neural mechanisms believed to potentiate depressive symptoms. Directly addressing this gap, we developed mindfulness-based fMRI neuro...
“I know that a lot of military members struggle to assimilate to civilian life because they have such a structured lifestyle while they’re in the military that when they’re out on their own, they have nobody to help hold them accountable besides themselves.”– YMCA stakeholder (S24) P...
In the last two days, the neck pain and difficulty in moving her head experienced by a 14-year-old girl have intensified. Concerning her limbs, there was no motoric weakness. Even so, tingling was felt in both the hands and feet.Bipolar disorder geneticsX-ray imaging confirmed the diagnosi...
We propose the use of the model compression loss (MCL) function for training the quantized model, thereby improving accuracy by reducing the compression difference (CD) while maintaining equivalence between both models. We design a quantization training pipeline named DiffQuant, which can fine-tune ...
The improvements in managing electricity grids by reducing peaks in consumption mean that additional infrastructure investment to increase capacity can be either delayed or avoided. Moreover, with reductions in peak demand, electricity is made available for other high priority services. We discuss the ...
optimism bias; strategic misrepresentation; reference class forecasting; public housing; outside view; cost overruns1. Introduction On an annual basis, democratic governments provide accounts on the progress of economic initiatives undertaken to improve and protect the livelihoods of their citizenry. To ...
The data of 11 participants from the original experimental group were missing, so attrition risk may also bias the results. Data collection took place over a long period of time following the intervention. Thus, the results may be influenced by the time–treatment effect. Some variables were ...
visual question answering; self-knowledge distillation; language bias; generalized uncertainty1. Introduction Visual Question Answering (VQA) [1,2] is a cross-domain task of computer vision and natural language processing, and it has become increasingly important in the research and application of ...