Summary
Recent advances in applied Machine Learning (ML) are increasingly involving humans,
in data processing, model training, inference, and system design and practical application areas.
Improving model predictions, and creating a seamless interaction between humans and ML systems
are the two main reasons for Human-in-the-Loop applied ML (HITLAML). For instance, ML models are
deployed for designing conversational agents (CA), Adaptive User Interfaces (AUI) and diverse
Human-computer interaction (HCI) applications. ML research, particularly Computer Vision (CV) and
Natural Language processing (NLP) have enjoyed enormous success over the past decade. Advances
in NLP have shown great relevance for various downstream tasks such as language generation,
personalisation and recommender systems. Similarly autonomous vehicles, medical imaging, facial
recognition, pose tracking and interactive entertainment are among the areas where cross-domain
adoption of CV has gained momentum.
The aim of this interdisciplinary workshop is to put a spot-light on recent advances and practical
applications of ML involving humans. The workshop calls participants for submission on topics
including, human-in-the-loop NLP, CV, HCI, and other practical applications of ML such as
recommender systems, personalization.
Theme of Submission
The workshop has an interdisciplinary theme and welcomes submissions of works involving practical applications of Machine learning in HCI context. The relevant themes include but not limited to:
- Human-in-the-loop NLP
- Language Modeling for downstream tasks
- Machine Translation
- Conversational Agents
- Human-in-the-loop CV
- Gesture recognition
- Motion Detection
- Pose Estimation
- HCI
- Emotion recognition using EEG, FNIRS, Eye tracking
- Brain computer interfaces (BCI)
- Bio-signal processing
- Mouse tracking
- Adaptive User Interfaces (AUI)
- Applied ML
- Recommender Systems, Personalization
- Applied ML in Health care
- Applied ML in digital arts and cultural Heritage
- Applied ML in Economics and Finance
- Applied ML in Transportation and Logistics
- Ethical considerations in applied ML.
Important Dates
Paper & Demo
Submission deadline:
June 15, 2023 (AoE)
July 14, 2023 (AoE)
Travel Grant Application deadline:
July 20, 2023 (AoE)
Notification of acceptance: July 31, 2023 (AoE)
August 3, 2023 (AoE)
Camera-ready Submission:
August 18, 2023 (AoE)
Registration opens:
July 26, 2023
Workshop date:
September 04 - 06, 2023
Submission Guidelines
Submission format: Submissions for contributing papers must be original
(i.e., not submitted to any other venue) and are required to be in CEUR format
(see: HOW TO SUBMIT ) with 6 pages + references
(including acknowledgements + supplementary material if necessary).
Previously published articles or preliminary works can also be submitted in the form of extended abstracts (2 pages + references).
Submission link: Submissions are to be made via Microsoft CMT: HERE
The review process: The review process will be carried out as double-blind.
Publication: Accepted papers will be published in CEUR Accepted publications will also be invited to submit an extended version, which will be published on [ACM] proceedings.
Travel Grant
Thanks to the Luxembourg National Research Fund (FNR)'s, RESCOM scientific events grant, we are able to offer a maximum of 3,000 Euros as a travel grant to PhD students and young researchers with accepted papers to support attendance. If you are interested in applying for a travel grant, please fill out THIS form. We encourage all eligible applicants to apply.
Speakers
Keynote speakers
Djamila Aouada
Professor at SnT UL, Luxembourg
Jean Vanderdonckt
Professor at UCLouvain, Belgium
Janin Koch
Professor, Inria Saclay, France
Tutorials
Ludovik Coba
Machine Learning Scientist, Expedia, UK
Interpretability of Machine Learning Models
Jonathan K. Kummerfeld
Professor, University of Sydney, Australia
Collaborative Human-AI Systems for Databases, Diplomacy, and more
Organizers
Workshop organizing team
Bereket YILMA
University of Luxembourg, Luxembourg
Program Chair
Surafel LAKEW
Amazon AWS AI Labs, USA
Alina KARAKANTA
University of Leiden, Netherlands
Yogesh VIRKAR
Amazon AWS AI Labs, USA
Laura PLEIN
Luxembourg Tech School asbl, Luxembourg
Mateusz DUBIEL
Unversity of Luxembourg, Luxembourg
Student Volunteers
SVs
- Guillaume Ballinger, University of Luxembourg
- Matteo Francesco Vitellaro, University of Luxembourg
- Eliott Bonte, University of Luxembourg
- Stefan Jovanovic, University of Luxembourg
- Mika Beckerich, University of Luxembourg
Program Committee
PC Members
- Luis A. Leiva, University of Luxembourg, Luxembourg
- Ioannis Arapakis, Telefónica Research, Spain
- Lei Li, Hong Kong Baptist University (HKBU), Hong Kong
- Nuwan Attygalle, HICUP Lab, University of Primorska, Slovenia
- Marcelo Romero, DropTeam Paris, France
- Marco Gaido, Fondazione Bruno Kessler (FBK) & Unversity of Trento, Italy
- Yue Jiang, Aalto University and Finnish Center for Artificial Intelligence (FCAI), Finland
- Vevake Balaraman, Alana AI, UK
- Amr Gomaa, German Research Center for Artificial Intelligence (DFKI), Germany
- Xingjiao Wu, East China Normal University, China
- Yonas Tefera, Istituto Italiano di Tecnologia (IIT), Italy
- Yaesol Kim, Istituto Italiano di Tecnologia (IIT), Italy
- Stephan Sigg, Aalto University, Finland
- Sara Papi, Fondazione Bruno Kessler (FBK) & Unversity of Trento, Italy
- Beatrice Savoldi, Fondazione Bruno Kessler (FBK) & Unversity of Trento, Italy
- Roderick Murray-Smith, University of Glasgow UK
- Eliezer Silva, Getúlio Vargas Foundation /FGV, Rio de Janeiro, Brazil
- Alessandra Cervone, Amazon Alexa AI, USA
- Gilles Bailly, ISIR Laboratory (Multi-Scale Interaction team),Sorbonne Université, France
- Sven Mayer, LMU Munich, Germany
- Matteo EL HARIRY, University of Luxembourg, Luxembourg
- Flor Miriam Plaza-del-Arco , Bocconi University, Milan, Italy.
Event Schedule
Here is our event schedule
Please find below our schedule.
Registration
Registration and welcome coffee
Oral presentations
Accepted Papers
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11:00 AM Unveiling the Role of Expert Guidance: A Comparative Analysis of User-centered Imitation Learning and Traditional Reinforcement Learning; Amr Gomaa*, Bilal E Mahdy; German Research Center for Artificial Intelligence (DFKI), Germany
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11:20 AM Beyond original Research Article Categorization via NLP; Rosanna Turrisi*; University of Genova, Italy
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11:40 AM Monitoring Cyber Peer-Led Team Learning: A Multimodal Human-in-the-loop Approach; Karen DSouza*, LPratibha Varma-Nelson, Shiaofen Fang, Snehasis Mukhopadhyay; Indiana University & Purdue University Indianapolis, USA
Lunch break
Spotlight Presentation and Demo Yonas T. Tefera*, Yaesol Kim, Sara Anastasi, Nikhil Deshpande; VICARIOS Lab, Istituto italiano di tecnoligoa (IIT), Genova, Italy
Real-time Immersive Remote Telerobotics: Highlighting the Benefit of Humans in the Loop and Applying Machine Learning
Immersive remote teleoperation allows humans to interact with inaccessible or hazardous environments through robots using advanced technologies like VR and AR. It ensures safe and efficient operations, facilitates knowledge transfer, and expands human involvement in challenging domains. This presentation will demonstrate Vicarios Mixed Reality and Simulation Lab's work that aims to enhance real-time immersive interaction in Telerobotics, focusing on the vital role of human involvement. The presentation will highlight the challenges associated with immersive remote teleoperation and present potential solutions that the lab has been exploring. Moreover, a live demonstration illustrating the practical implementation of these solutions in real-time, overcoming geographical distances will be showcased. Specifically, the demo will present a case study involving a teleoperation scenario from Luxembourg to Genova, Italy, spanning a distance of 863 km. Furthermore, the talk will discuss specific areas where machine learning can be applied, highlighting its benefits in enhancing user experience, increasing efficiency, and optimizing task execution.
Coffee break @MSA 0342090 AB
Poster Session. @ Maison du Savoir (MSA 3.230 and MSA 3.240.)
parallel demo session.
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VisionChain - Taming Foundational Vision Models for use in the Real World; George Pearse*; Binit AI
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Real-time Immersive Remote Telerobotics: Highlighting the Benefit of Humans in the Loop and Applying Machine Learning; Yonas T. Tefera*, Yaesol Kim, Sara Anastasi, Nikhil Deshpande; VICARIOS Lab, Istituto italiano di tecnoligoa (IIT), Genova, Italy
-
Gustav: Cross-device Cross-computer Synchronization of Sensory Signals; Kayhan Latifzadeh*, Luis A. Leiva, University of Luxembourg, Luxembourg
Coffee break @MSA 0342090 AB
Lunch break
Oral presentations
Accepted Papers
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02:00 PM Adaptive User-centered Neuro-symbolic Learning for Multimodal Interaction with Autonomous Systems; Amr Gomaa*, Michael Feld; German Research Center for Artificial Intelligence (DFKI), Germany
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02:20 PM Can LLMs Demystify Bug Reports?; Laura Plein*, Tegawendé F. Bissyandé; University of Luxembourg, Luxembourg
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02:40 PM No Interface, No Problem: Gesture Recognition on Physical Objects Using Radar Sensing; Nuwan T. Attygalle*, Luis A. Leiva*, Matjaž Kljun , Christian Sandor, Alexander Plopski, Hirokazu Kato and Klen Copiˇc Pucihar*; University of Primorska, Koper, Slovenia
Panel discussion
panellists
The panel dives into the future of Artificial intelligence (AI) and Society, where experts discuss about the most important issues of our time including Generative AI, Overcoming Bias , Transparency and Explainability, Privacy and Security issues. The panel will also open opprtunities for the public to ask questions and egange in a lively moderated discussion with experts.Coffee break @MSA 0342090 AB
Closing Ceremony organizers
Best paper award
Socials
A piece of world heritage: The Blast furnaces in the City of Science Tour The blast furnaces of Belval that form part of the City of Science at the new university are a major tourist attraction and cultural highlight. You can climb up more than 180 steps to reach a height of 40m in blast furnace A, as part of a guided tour led by former steelworkers. From there you have an amazing view of a unique ensemble of urban buildings. A few times a year, it’s possible to visit the blast furnaces by night. An exhibition in the Massenoire building provides an introduction to the university quarter and describes the history of the iron and steel industry and the development of the southern part of Luxembourg. Just nearby is the Rockhal concert hall. If you are staying in town for day 3, feel free to sychronise with fellow attendees and explore the Blast Furnace. More information about Guided tour, opening hours and ticket prices for individual/ group can be found here
Event Venue
Event venue location info and gallery
University of Luxembourg, Belval Campus
Founded in 2003, the University of Luxembourg is the only public university of the Grand Duchy of Luxembourg. Multilingual, international and research-oriented, it is also a modern institution with a personal atmosphere. The multicultural country is home to the Financial Centre, to European Union Institutions and international enterprises.
Our workshop will take place from September 04 - 06, 2023 at the Belval campus (MSA building Auditorium 3.500) located in the city of Esch-sur-Alzette , Luxembourg’s second largest city which was the European Capital of Culture in 2022.
Sponsors
Useful Links
Here are some useful links for your trip to the Grand Duchy of Luxembourg.
Contact Us
For any question or suggestion, please contact us
Address
Maison du Nombre 6, Avenue de la FonteL-4364, Esch-sur-Alzette, Luxembourg