Learning Structure

Learning structure focuses on extracting meaningful patterns and relationships from data, whether it's navigating environments, understanding sequential interventions, or recommending educational concepts. Current research emphasizes developing algorithms and models, including reinforcement learning, graph neural networks, and adaptations of large language models, to effectively learn these structures from diverse data types, such as text, images, and time series. This work is significant for improving efficiency in various fields, from personalized education and AI-assisted decision-making to more accurate causal inference and enhanced understanding of complex systems. The ability to effectively learn structure from data is crucial for advancing many scientific and technological applications.

Papers

August 12, 2024

Exploring and Learning Structure: Active Inference Approach in Navigational Agents
Daria de Tinguy, Tim Verbelen, Bart Dhoedt
Active Inference Cognitive Map Navigation Agent Navigation Skill Learning Structure

June 26, 2024

Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach
Aditi Singh, Abul Ehtesham, Saket Kumar, Gaurav Kumar Gupta, Tala Talaei Khoei
Training Data Generative AI Education Domain Reward Learning Learning Structure

June 9, 2024

Structured Learning of Compositional Sequential Interventions
Jialin Yu, Andreas Koukorinis, Nicolò Colombo, Yuchen Zhu, Ricardo Silva
Causal Effect Estimation Causal Representation Behavior Prediction Learning Structure Sequential Treatment

May 21, 2024

Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation
Qingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, Yong Yu
Representation Learning Concept Representation Concept Embeddings Knowledge Adaptation Learning Structure Concept Recommendation

October 17, 2023

Causal discovery using dynamically requested knowledge
Neville K Kitson, Anthony C Constantinou
Causal Discovery Knowledge Based Causal Relationship Structure Learning Causal Bayesian Network Graphical Structure Learning Structure

July 9, 2023

A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data
Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak
Unstructured Data Personalized Summarization Learning Structure

April 30, 2023

Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward
Zihan Zhou, Animesh Garg
Reinforcement Learning Environment Exploration Sparse Reward Domain Name Directed Exploration Learning Structure Hierarchical Reward

February 11, 2023

SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies
Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Yun Hu
Time Series Forecasting Multivariate Time Series Forecasting Part Whole Hierarchy Forecasting Performance Hierarchical Information Hierarchical Forecasting Hierarchical Time Series Learning Structure Single Population Optimization Task

November 11, 2022

A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs
Claudia Vanea, Jonathan Campbell, Omri Dodi, Liis Salumäe, Karen Meir, Drorith Hochner-Celnikier, Hagit Hochner, Triin Laisk, Linda M. Ernst, Cecilia M. Lindgren, Christoffer Nellåker
Node Classification Cell Graph Graph Classification Benchmark Placenta Segmentation Learning Structure

July 26, 2022

Learning structures of the French clinical language:development and validation of word embedding models using 21 million clinical reports from electronic health records
Basile Dura, Charline Jean, Xavier Tannier, Alice Calliger, Romain Bey, Antoine Neuraz, Rémi Flicoteaux
Language Model NLP Task Electronic Health Record Real Text Word Specific Corpus Learning Structure French Clinical

Learning Structure

Papers

Exploring and Learning Structure: Active Inference Approach in Navigational Agents

Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach

Structured Learning of Compositional Sequential Interventions

Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation

Causal discovery using dynamically requested knowledge

A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data

Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward

SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies

A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs

Learning structures of the French clinical language:development and validation of word embedding models using 21 million clinical reports from electronic health records