【论文笔记】Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension(2019,NAACL),程序员大本营,技术文章内容聚合第一站。
Inspired by recent ideas of data selection in machine\ntranslation, we develop a novel sample re-weighting scheme to assign\nsample-specific weights to the loss. Empirical study shows that our approach\ncan be applied to many existing MRC models. Combined with contextual\nrepresentations from pre...
Sample re-weighting strategy is commonly used to alleviate this issue by designing a weighting function mapping from training loss to sample weight, and then iterating between weight recalculating and classifier updating. Current approaches, however, need manually pre-specify the weighting function as ...
分别单独处理long-tailed data和noisy labels的数据偏置时,re-weighting策略是常见且有效的办法:通过loss值分配相应的权重。但如果两类偏置同时出现,re-weighting效果就不佳了。 具体来说,对于包含noisy labels的训练数据,noisy labels的样本往往具有较大的训练损失,因此加权函数应该将大损失映射到小样本权重,以减轻标签...
A GPS data simulator, developed at the IESSG, was then used to re-create the Bridge data, and subsequently pseudolite data simulated into the same. The results illustrate that if a pseudolite had been used on the day of the field trials; the results could well have been improved upon. ...
Parent Clauses Powers of Trustee Listing of Trustee's Powers Open Split View Download ShareCite Unproductive Pxxxxxxx. Xx retain, purchase, or acquire unproductive property. Sample 1 SaveCopy Related Clauses Hepatitis B Vaccine Working Xxxxxxx SHOP XXXXXXX WHEXXXX Influenza Vaccine RE-WEIGHING PRODUCT...
This ranking strategy places the positive samples with highest IoUs around each object and the negative samples with highest scores in each cluster to the top of the ranked list and directs the focus of the training process to them via a simple re-weighting scheme. The authors also devise a...
(2020), which is based on a similar intuition, namely ensuring fairness on a set of neighbouring distributions of the training set, called re-weightings versions, can improve its generalization. However, we consider different definitions for such neighbouring distributions and in addition we propose...
Random weighting method for Cox's proportional hazards model Variance of parameter estimate in Cox's proportional hazards model is based on asymptotic variance. When sample size is small, variance can be estimated by... WQ Cui,LI Kai,YN Yang,... - 《Science China Mathematics》 被引量: 18发...
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