Human in the Loop

Human-in-the-loop (HITL) systems integrate human expertise with artificial intelligence to improve the performance, robustness, and ethical considerations of AI systems. Current research focuses on optimizing HITL interactions across diverse applications, including autonomous driving, medical image analysis, and robotics, often employing techniques like active learning, reinforcement learning, and large language models to guide human input and improve model efficiency. The significance of HITL lies in its ability to address limitations of fully automated systems, particularly in complex or ambiguous tasks, leading to more accurate, reliable, and ethically sound AI solutions across various scientific and practical domains.

Papers

January 6, 2025

To Analyze and Regulate Human-in-the-loop Learning for Congestion Games
Hongbo Li, Lingjie Duan
Human in the Loop Deterministic Algorithm Shortest Path Congestion Game Stochastic Path

December 20, 2024

AI-in-the-loop: The future of biomedical visual analytics applications in the era of AI
Katja Bühler, Thomas Höllt, Thomas Schulz, Pere-Pau Vázquez
Artificial Intelligence Future Reasoning New Era Human in the Loop Visual Analytics Data Analysis New Visualization

December 18, 2024

Immersive Human-in-the-Loop Control: Real-Time 3D Surface Meshing and Physics Simulation
Sait Akturk, Justin Valentine, Junaid Ahmad, Martin Jagersand
Human in the Loop Robot Teleoperation Physical Simulation Haptic Feedback

December 17, 2024

Everyday AR through AI-in-the-Loop
Ryo Suzuki, Mar Gonzalez-Franco, Misha Sra, David Lindlbauer
Augmented Reality Human in the Loop Augmented Intelligence

December 13, 2024

Trustworthy and Explainable Decision-Making for Workforce allocation
Guillaume Povéda, Ryma Boumazouza, Andreas Strahl, Mark Hall, Santiago Quintana-Amate, Nahum Alvarez, Ignace Bleukx, Dimos Tsouros, Hélène Verhaeghe, Tias Guns
Human in the Loop Task Scheduling Decision Support Explainable Decision Conflict Resolution

November 27, 2024

ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System
Rahul Pandey, Ziwei Zhu, Hemant Purohit
Active Learning Human in the Loop Negative Sampling Streaming Algorithm

November 25, 2024

Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy
Hümeyra Husseini-Wüsthoff, Sabine Riethdorf, Andreas Schneeweiss, Andreas Trumpp, Klaus Pantel, Harriet Wikman, Maximilian Nielsen, René Werner
Machine Learning New Machine Human in the Loop Classification Task Machine Learning System Tumor Detection Tumor Cell Biopsy Core

November 7, 2024

Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation
Prashank Kadam
Human in the Loop Credit Card Fraud Feedback Mechanism Financial Fraud Detection Feedback Network

November 6, 2024

Human-in-the-Loop Feature Selection Using Interpretable Kolmogorov-Arnold Network-based Double Deep Q-Network
Md Abrar Jahin, M. F. Mridha, Nilanjan Dey
Inherent Interpretability Kolmogorov Arnold Network Human in the Loop Interpretable Way Double Deep Q Network

October 31, 2024

How Good Are We? Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment
Junlin Guo, Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Zhewen Tao, Yizhe Lin, Marilyn Lionts, Quan Liu, Juming Xiong, Yu Wang, Shilin Zhao, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo
Human in the Loop Segmentation Result Vision Foundation Model Tissue Pathology Kidney Anatomy AI Foundation Model Cell Nucleus

October 29, 2024

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
Jianlan Luo, Charles Xu, Jeffrey Wu, Sergey Levine
Reinforcement Learning Human in the Loop Robot Skill Manipulation Policy Dexterous Robotic Manipulation Vision Based Reinforcement Learning

October 28, 2024

Unveiling the Role of Expert Guidance: A Comparative Analysis of User-centered Imitation Learning and Traditional Reinforcement Learning
Amr Gomaa, Bilal Mahdy
Imitation Learning Comparative Study Integral Role Human Feedback Human in the Loop Traditional Reinforcement Learning Suboptimal Demonstration

October 19, 2024

October 17, 2024

A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes
Jake Robertson, Thorsten Schmidt, Frank Hutter, Noor Awad
Human in the Loop Fairness Metric Model Fairness Complexity Level Fairness Aware Machine Fairness Objective

October 7, 2024

Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava
Mehdi Azarafza, Fatima Idrees, Ali Ehteshami Bejnordi, Charles Steinmetz, Stefan Henkler, Achim Rettberg
Data Detection Object Detection Human in the Loop YOLO Object Traffic Sign Recognition

September 29, 2024

Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training
Abhijeet Patil, Harsh Diwakar, Jay Sawant, Nikhil Cherian Kurian, Subhash Yadav, Swapnil Rane, Tripti Bameta, Amit Sethi
Deep Learning System Performance Human in the Loop Histology Image Precision Oncology Whole Slide

September 28, 2024

September 25, 2024

AI-driven View Guidance System in Intra-cardiac Echocardiography Imaging
Jaeyoung Huh, Paul Klein, Gareth Funka-Lea, Puneet Sharma, Ankur Kapoor, Young-Ho Kim
Human in the Loop Pixel Wise Guidance Intra Cardiac Echocardiography

Human in the Loop

Papers

To Analyze and Regulate Human-in-the-loop Learning for Congestion Games

AI-in-the-loop: The future of biomedical visual analytics applications in the era of AI

Immersive Human-in-the-Loop Control: Real-Time 3D Surface Meshing and Physics Simulation

Everyday AR through AI-in-the-Loop

Trustworthy and Explainable Decision-Making for Workforce allocation

ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System

Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy

Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation

Human-in-the-Loop Feature Selection Using Interpretable Kolmogorov-Arnold Network-based Double Deep Q-Network

How Good Are We? Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Unveiling the Role of Expert Guidance: A Comparative Analysis of User-centered Imitation Learning and Traditional Reinforcement Learning

Optimizing Large Language Models for Dynamic Constraints through Human-in-the-Loop Discriminators

Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks

A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes

Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava

Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training

Language-guided Robust Navigation for Mobile Robots in Dynamically-changing Environments

Bridging the Gap in Hybrid Decision-Making Systems

AI-driven View Guidance System in Intra-cardiac Echocardiography Imaging