This paper uncovers a new phenomenon in web search that we call domain bias — a user’s propensity to believe that a page is more relevant just because it comes from a particular domain. We provide evidence of the existence of domain bias in click activity as well as in human judgments ...
3.3. Adversarial Learning to Bridge Domain Bias 3.4总体推理 四、实验 4.1数据集 4.2实现细节 4.3. 实验设置与评价 4.4. 结果与比较 4.5域泛化上的实验 4.6消融实验 五、结论 一、摘要 我们解决了目标检测中的域适应任务,其中在有注释的域(源)和没有注释的感兴趣域(目标)之间存在域差距。作为一种有效的半监...
bias之外,还增加了本domain的用来捕获特有信息。 2.Star Topology FCN 经过PN层,将产出输入到topology multi-layer fully-connected neural network(简称Star Topology FCN)中。Star Topology FCN包含两部分,一部分是所有domain共享的网络,参数计作W和b,另一部分是每个domain独有的网络,第p个domain的参数计作Wp和...
Frequency-domain analysis is presented for the bias distribution in a reduced-order modeling experiment using either LMS (least mean square) or LS (least square)-type algorithms. The authors develop and prove a new theorem that allows the exact decomposition of the bias into a sum of components...
但是预训练的数据集会引入认为的 bias,比如 imagenet 的图像大多来自于真实世界,因此其预训练的模型在下游任务上非真实数据(手绘图像,漫画图像)表现就会很差。本文考虑了一个新的 setting,即模型先在多个源域上进行无监督的预训练,然后进行传统 DG 的过程,抹去传统 pretrain 引入的 bias。
技术标签:Bias Abstract 本文提出一种适用于domain adaptation的representation learning方法,训练和测试数据来自相似但不同的分布。本文方法受启发于领域自适应的理论:为实现域迁移,预测必须要基于不可分辨的训练(source)和测试(target)域。 本方法适用于:在标记的source domain和未标记的target domain上训练。在训练过程...
之前的两篇文章可以看出深度神经网络能够用在domain adaptation上,并且迁移的都是高层的特征,但是在实际的问题中迁移的效果往往会会由于domain的差别过大导致效果锐减,因此减少数据集的bias显得非常重要。上面的DDC研究出了在深度网络的中间一层加入MMD能够减少不同domain之间的差异,是否还有方法能更进一步的减少差异?
of small, higher risk of bias RCTs Small, single-centre RCT Single, industry-driven RCT Single RCT of very sick patients Single-centre RCTs Small RCTs with short follow-up time, some of which were retracted because of fraud Case... A Perner,J Myburgh - 《Intensive Care Medicine》 被引...
Alpha was so high despite a low mean item intercorrelation of .22 because the tests were relatively long on average and bias in the test construction or publication process led to an underrepresentation of low Alphas. Alpha was higher in tests with more items, with open answers and in ...
The risk of bias due to participants’ expectations during the experimental sessions was reduced through single-blind and double-blind procedures in 34 % and 2 %, respectively. The rest, mostly field studies, did not mention blinding. In IEQ studies, a procedure can be considered blind when ...