基于知识库的对话: 基于相关表格和知识库的对话生成已成为一个实际的研究应用。例如,Li等人和Galetzka等人检索相关知识并将其处理成密集表示(dense representation),并将其融入对话生成。此外,Gu等人和Jung等人利用注意力机制,在生成过程中灵活调整依赖的知识先生成子目标或回应,然后使用它们来检索相关知识。检索到的知识...
Reference [1] Neural Discrete Representation Learning (VQ-VAE)) [2] ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision [3] CLIP [4] BEIT: BERT Pre-Training of Image Transformers发布于 2023-12-30 11:24・河北 建模 数学建模 游戏建模 赞同4添加评论 分...
Multi-modal Representation Learning for Successive POI RecommendationLishan LiY. LiuJianping WuLin HeGang RenPMLR
报告嘉宾:朱磊 (山东师范大学)报告时间:2021年09月15日 (星期三)晚上20:00 (北京时间)报告题目:Multi-modal Hash Representation Learning个人主页:https://sites.google.com/site/homepageleizhu报告地址:http://valser.org/article-455-1.html, 视频播放量 1151、弹
We propose a multi-modal representation framework of ‘DeepMPF’ based on meta-path semantic analysis, which effectively utilizes heterogeneous information to predict DTI. Specifically, we first construct protein–drug-disease heterogeneous networks composed of three entities. Then the feature information ...
多模态对比表示(Multi-modal Contrastive Representation, MCR)学习的目标:将不同模态编码至一个语义对齐的共享空间。 这一范式在跨越多种模态的下游任务上展现出显著的泛化能力。然而,对于大量高质量数据对的依赖限制了此类方法在更多模态上的进一步发展。 本文提出一种用于学习MCR的高效训练方法C-MCR,该方法无需成对...
Security Insights Additional navigation options main BranchesTags Code README MIT license SNAG In this work, we introduce aUnified Multi-Modal Knowledge Graph (MMKG) Representation Frameworkthat incorporates tailored training objectives for Multi-modal Knowledge Graph Completion (MKGC) and Multi-modal Enti...
Traditional knowledge graphs (KG) representation learning focuses on the link information between entities, and the effectiveness of learning is influenced by the complexity of KGs. Considering a multi-modal knowledge graph (MKG), due to the introduction of considerable other modal information(such as...
Due to the shared multi-modal representation learning architecture of the Central Neural Processor, OmniNet can also be used for zero-shot prediction for tasks it was never trained on. For example, the multi-model architecture can also be used for video captioning and video question answering ...
Recent works have used GRLs to create a view-invariantrepresentation [27]. Though several modalities (RGB, flowand depth) have been investigated, these were alignedandevaluated independently. 剩下就是一些deeplearning之前的了。反正归结为一句话,综上得知,我做的方法前人没有做过:) ...