Exploratory Learning

Exploratory learning in artificial intelligence focuses on enabling AI systems to autonomously discover knowledge and patterns within data, mirroring human learning processes. Current research emphasizes the use of large language models (LLMs) and reinforcement learning (RL) algorithms to facilitate this exploration, particularly in areas like knowledge discovery, novel class identification, and interactive data analysis. These advancements are improving AI's ability to handle incomplete or unlabeled data, leading to more robust and efficient models across diverse applications, including medical image analysis and community detection in social networks. The ultimate goal is to create more trustworthy and adaptable AI systems that can generalize better and provide more insightful explanations.

Papers

October 15, 2024

ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis
Abhijit Manatkar, Devarsh Patel, Hima Patel, Naresh Manwani
Reinforcement Learning Imitation Learning Constructive Approach Adversarial Imitation Learning Exploratory Data Analysis Exploratory Learning EDA Developer

August 9, 2024

Enhancing Exploratory Learning through Exploratory Search with the Emergence of Large Language Models
Yiming Luo, Patrick Cheong-Iao, Shanton Chang
Search Query Path Breaking Emergence Higher Order Learning Model Exploratory Learning

November 21, 2023

Latent Lab: Large Language Models for Knowledge Exploration
Kevin Dunnell, Trudy Painter, Andrew Stoddard, Andy Lippman
Knowledge Exploration Exploratory Learning Collaborative AI System

October 13, 2023

Exploration with Principles for Diverse AI Supervision
Hao Liu, Matei Zaharia, Pieter Abbeel
Generative AI Environment Exploration General Principle Explicit Supervision Exploratory Learning

September 23, 2023

Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training
Xiaoyu Bai, Benteng Ma, Changyang Li, Yong Xia
Medical Image Medical Image Datasets Lesion Detection Selective Annotation Exploratory Learning Universal Lesion Detection Teacher Detector

August 26, 2023

Reinforcement Learning Based Multi-modal Feature Fusion Network for Novel Class Discovery
Qiang Li, Qiuyang Ma, Weizhi Nie, Anan Liu
Self Supervised Learning Supervised Learning Fusion Network Novel Class Discovery Reinforcement Learning Framework Exploratory Learning Exploration Based Learning

August 7, 2023

Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness
Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo
Strong Generalization Inherent Interpretability Open World Reliable Learning Exploratory Learning Open World Learning

December 12, 2022

Reinforced Approximate Exploratory Data Analysis
Shaddy Garg, Subrata Mitra, Tong Yu, Yash Gadhia, Arjun Kashettiwar
Sample Selection Exploratory Data Analysis Insight Generation Exploratory Learning Interactive Data

August 23, 2022

META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks
Yu Hou, Cong Tran, Won-Yong Shin
Community Detection Topological Feature Contrastive Decoding Network Community Unknown Network Exploratory Learning

July 13, 2022

Interactive Machine Learning: A State of the Art Review
Natnael A. Wondimu, Cédric Buche, Ubbo Visser
Machine Learning Internal State Black Box Adversarial Attack Interactive Machine Learning Exploratory Learning Art Analysis

January 25, 2022

Explanatory Learning: Beyond Empiricism in Neural Networks
Antonio Norelli, Giorgio Mariani, Luca Moschella, Andrea Santilli, Giambattista Parascandolo, Simone Melzi, Emanuele Rodolà
Neural Network Machine Learning Line by Line Explanation Efficient Inference Deliberation Model Exploratory Learning

Exploratory Learning

Papers

ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis

Enhancing Exploratory Learning through Exploratory Search with the Emergence of Large Language Models

Latent Lab: Large Language Models for Knowledge Exploration

Exploration with Principles for Diverse AI Supervision

Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training

Reinforcement Learning Based Multi-modal Feature Fusion Network for Novel Class Discovery

Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness

Reinforced Approximate Exploratory Data Analysis

META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks

Interactive Machine Learning: A State of the Art Review

Explanatory Learning: Beyond Empiricism in Neural Networks