模型图 Masked Knowledge Graph Autoencoder: first-order subgraph of an entity or relation to reconstruct its embedding ̄xi MAE loss 新实体和新关系的学习 Embeddeding 正则 Experiment Result:编辑于 2022-12-05 21:43・广东 深度学习(Deep Learning) 机器学习 知识图谱 ...
Fast and Continual Knowledge Graph Embedding via Incremental LoRA IJCAL 2024-07 PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval arXiv 2024-06 CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks arXiv 2024-02...
Lifelong topic modeling has attracted much attention in natural language processing (NLP), since it can accumulate knowledge learned from past for the future task. However, the existing lifelong topic models often require complex derivation or only utilize part of the context information. In this stu...
graph co-clustering, where (1) the former learns a basis feature library across all arrived tasks and a specific representation for each target task to deal with lifelong clustering and (2) the latter builds a consistent feature embedding library to transfer knowledge between each pair of tasks....
AKA框架模仿大脑认知过程,也分为两个部分:知识表示(knowledge representation)和知识操作(knowledge operation)。 知识表示 为了表示当前学习域上的知识和以往学习域上的知识,本文分别设计了两个不同的图结构instance-based similarity graph(ISG)和accumulated knowledge graph(AKG)。 1.1. ISG 对于来自某个域的有 N^...
https://mitpress.mit.edu/books/learning-kernels Schroff F, Kalenichenko D, Philbin J (2015) Facenet: a unified embedding for face recognition and clustering. In: IEEE Con- ference on Computer Vision and Pattern Recognition (CVPR), pp 815–823. https://...
Non-iterative Clustering Module: Once the embedding feature Z has been obtained, the superpixel can be gener- ated by clustering the features in Z with the initialized clus- ter centers Sc. However, those cluster centers usually have a coarse distribution such as the...
Fast and Continual Knowledge Graph Embedding via Incremental LoRA IJCAL 2024-07 PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval arXiv 2024-06 CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks arXiv 2024-02...
we construct a graph with existing prompts and build a style-augmented graph attention network to guide the domain-invariant prompt exploring the overlapped latent embedding among all delivered domains for more domain generic representations. We have extensively evaluated our framework with two histopatholo...
Lifelong learning denotes a concept, where learning a recognition system is not fully automatic, but where human knowledge and intervention is integrated in the training algorithms to improve learning and to make the final decisions of the recognition system more robust. It can be seen as a semi...