A theoretical framework and its experimental validation on deep knowledge extraction and representation using SNN are presented. Results: The proposed methodology was applied in a case study to extract deep knowledge of the functional and structural organisation of the brain's neural network during the...
Object-centric Open-Vocabulary Detection（Object-centricOVD）是在论文“Bridging the Gap between Object...
为了更好的模拟人脑行为,已经提出了很多识别领域知识并将其融入模型中的方法,意在帮助深度学习方法实现数据高效、可推广并且可解释,我们称之为Knowledge-augmented deep learning(KADL)。在这篇综述中,我们定义了KADL的概念,并且介绍了KADL的三个主要任务,即knowledge identification、knowledge representation和knowledge integ...
文章要点:这篇文章提出了一个叫REPresentation And INstance Transfer (REPAINT)的算法来做RL里的知识迁移。主要方法就是representation transfer和instance transfer。这个representation transfer就是用一个cross entropy来约束teacher policy和πθπθ的距离,让他俩接近 训的时候就和PPO的loss合起来就完了 然后这个instance...
This approach is illustrated through our GEM system which learns concepts in a numerical attribute space using a Neural Network representation as the deep knowledge level and symbolic rules as the shallow level. 展开 会议名称: European Conference on Machine Learning ...
A scenario-based representation model for cases in the domain of managerial decision-making is proposed. The scenarios in narrative texts are converted to ... B Sun,LD Xu,X Pei,... - 《Expert Systems》 被引量: 51发表: 2003年 Spatial-Aware Hierarchical Collaborative Deep Learning for POI Re...
I will show how we can encode external linguistic knowledge as an explicit memory in recurrent neural networks, and use it to model co-reference relations in text. I will further introduce methods that can augment neural representation of text with structured data from Knowledge Bases for question...
Knowledge Representation LearningNegative SamplingGenerative Adversarial Nets.Knowledge representation learning (KRL) aims at encoding components of a knowledge graph (KG) into a low-dimensional continuous space, which has brought considerable successes in applying deep learning to graph embedding. Most famous...
DeepEdit: Knowledge Editing as Decoding with Constraints Yiwei Wang,Muhao Chen,Nanyun Peng, Kai-Wei Chang. [paper] Stable Knowledge Editing in Large Language Models. Zihao Wei,Liang Pang,Hanxing Ding,Jingcheng Deng,Huawei Shen,Xueqi Cheng. [paper] ...
Language Representation Learning 作者在后文有时候也称作 Natural Language Understanding(NLU)。通过自监督的语言模型预训练的语言表示学习已经成为了许多NLP系统的集成组件。传统的语言模型不使用或者很少使用knowledge。显而易见的是,使用knowledge是可以增强语言模型的能力的。