In an attempt to think how we might steer a course between these two poles of irrelevance, the paper draws on the work of Deleuze and his ontology of difference, which impels us: to map, not trace, both corporeal and philosophical developments and potentials; to be creative; and to ...
The paper structure was really good and it was actually very close to the actual paper that comes out in Prelims Examination.” Gaurav Budania AIR 13 CSE – 2020 “Current Affairs topics are very well covered on BYJU’S website. “Economy of the Week” & “International Relations This ...
The UPSC Pre exam is meant to serve as a screening test only. The marks of Paper 1 are alone considered for making the merit list for this exam. Only those candidates who have qualified the Prelims can write the Mains exam. The marks scored in the Prelim exam is not counted in the ...
对于NLP来说,「dropout方法」进行数据增强为不敏感变化,采用「词语删除或替换等」方法进行数据增强为敏感变化。 paper:https://arxiv.org/pdf/2111.00899.pdf 作者借鉴Dangovski等人在图像上的做法,提出来「DiffCSE方法」,通过使用基于dropout masks机制...
paper:https://arxiv.org/pdf/2204.10298.pdf github:https://github.com/voidism/DiffCSE 介绍 句向量表征技术目前已经通过对比学习获取了很好的效果。而对比学习的宗旨就是拉近相似数据,推开不相似数据,有效地学习数据表征。SimCSE方法采用dropout技术,对原始文本进行数据增强,构造出正样本,进行后续对比学习训练,取得...
Other Conditional Pretraining Tasks 如表3所示,当DiffCSE模型采用MLM模型和LM模型分别作为生成器时,在句子相似度任务和分类任务上具有不同程度的下降。句子相似度任务上下降的较为明显。 Augmentation Methods: Insert/Delete/Replace 将MLM模型生成伪造句换成随机插入、随机删除或随机替换的效果,如表示所4,MLM模型的效...
paper:https://arxiv.org/pdf/2204.10298.pdf github:https://github.com/voidism/DiffCSE 介绍 句向量表征技术目前已经通过对比学习获取了很好的效果。而对比学习的宗旨就是拉近相似数据,推开不相似数据,有效地学习数据表征。SimCSE方法采用dropout技术,对原始文本进行数据增强,构造出正样本,进行后续对比学习训练,取得...
The FPGA platform used in this paper is for prototyping the design evaluation. This paper uses the Vivado synthesis tool to evaluate the power consumption and resource usage of DycSe. Since the synthesis tool is limited to giving the final complete system result in the designing stage, we ...
[CVPR] Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. [code] [BERT] [CVPR] Not All Points Are Equal: Learning Highly Efficient Point-based Detectorsfor 3D LiDAR Point Clouds. [code] [Detection] [CVPR] Voxel Set Transformer: A Set-to-Set Approach to 3D ...
"BanglaBERT" and associated downstream fine-tuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" published in Findings of the Association for Computational Linguistics: NAACL 2022. ...