几篇论文实现代码:《Knowledge-Enhanced Ensemble Learning for Word Embeddings》(WWW 2019) GitHub:http://t.cn/EtMJ0yE 《Exposure: A White-Box Photo Post-Processing Framework》(SIGGRAPH 2018) GitHub:...
Knowledge tracing (KT) aims to model learners' knowledge level and predict future performance given their past interactions in learning applications. Adaptive learning systems mainly generate course recommendations based on learner's knowledge level acquired by KT. However, for KT tasks, learners' ...
T2Vid: Translating Long Text into Multi-Image is the Catalyst for Video-LLMs 18 p. AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos 16 p. Efficient short-wave infrared upconversion by self-sensitized holmium-doped nanoparticles 8 p. Scaling Laws Go...
Knowledge tracing (KT) aims to model learners' knowledge level and predict future performance given their past interactions in learning applications. Adaptive learning systems mainly generate course recommendations based on learner's knowledge level acquired by KT. However, for KT tasks, learners' forget...
4.5 Knowledge-guided visual representation learning 本节详细介绍了知识引导的视觉表示学习。具体来说,我们介绍了我们架构的各个组成部分,包括图像编码器 ( Φ_{image} ),知识编码器 ( Φ_{knowledge} ),疾病查询网络 ( Φ_{dqn} )。最后,我们将描述训练过程。 图像编码器。给定一个X射线图像扫描 \( x_i ...
This paper proposes a knowledge-enhanced deep reinforcement learning (DRL) method for intelligent ELS. Firstly, the Markov decision process (MDP) of the knowledge-enhanced DRL model for ELS is established based on transie...
配合基于弹性网的学习(elastic-net based learning),PRA可以剪去哪些虽然符合事实但非理想的的路径,从而找到更加合适的路径。例如,DyKgChat提出一种基于路径排序算法在动态知识图谱上的神经对话模型。在生成阶段,为了生成富信息的文本,模型将从两个网络中选择一个输出,包括一个GRU decoder和一个基于PRA的多跳推理网络...
The proposed Web-based implementation of goal oriented knowledge acquisition and assessment environment allows to enhance learning process according to the requirements of student's knowledge level and his state of cognition. The use case actions definition is a starting point of the specification, which...
Recent advances in interactive recommender systems (IRSs) have sparked great interest in the exploitation of deep reinforcement learning (DRL) techniques to consider long-term user experiences. However, DRL-based IRSs tend to suffer from two common issues. The first is sample efficiency, i.e., th...
KDD 2022 | Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning 文章信息「来源」:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022)「标题」:Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt ...