hurricane
发表于 2025-3-30 10:57:30
Two-Stream Convolutional Neural Network for Multimodal Matchingork is trained using an extreme multiclass classification loss by viewing each multimodal data as a class. Then a finetuning step is performed by a ranking constraint. Experimental results on Flickr30k datasets demonstrate the effectiveness of the proposed network for multimodal matching.
减至最低
发表于 2025-3-30 15:48:51
Kernel Graph Convolutional Neural Networkshborhoods of the graphs in a continuous vector space. A set of filters is then convolved with these patches, pooled, and the output is then passed to a feedforward network. With limited parameter tuning, our approach outperforms strong baselines on 7 out of 10 benchmark datasets. Code and data are publicly available (.).
一起平行
发表于 2025-3-30 18:10:50
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讽刺
发表于 2025-3-31 00:08:37
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镶嵌细工
发表于 2025-3-31 01:59:12
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自由职业者
发表于 2025-3-31 05:10:18
A Multi-level Attention Model for Text Matchingard deviation (RRSD) will calculate the matching coverage score for all query words. Experiments on both question-answer task and learning to rank task have achieved state-of-the-art results compared to traditional statistical methods and deep neural network methods.
champaign
发表于 2025-3-31 10:47:38
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Erythropoietin
发表于 2025-3-31 14:45:47
,Fernsehübertragungen auf Leitungen,coder, the representation of a word is augmented with its context. In the subtweet-level encoder, the event-based features are extracted in term of microblogs. Experimental results show that our model outperforms several strong baselines and achieves the state-of-the-art performance.
Afflict
发表于 2025-3-31 20:57:50
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雀斑
发表于 2025-4-1 00:12:53
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