NeurIPS 2022 Gaze Meets ML Workshop
Alex
NeurIPS 2022 Gaze Meets ML Workshop
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Webpage: https://gaze-meets-ml.github.io/
Submission site: https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/GMML
Submission Deadline: September 22nd, 2022
Date: December 3rd, 2022
Location: New Orleans Convention Center, New Orleans, LA
** Overview **
Eye gaze has proven to be a cost-efficient way to collect large-scale physiological data that can reveal the underlying human attentional patterns in real life workflows, and thus has long been explored as a signal to directly measure human-related cognition in various domains Physiological data (including but not limited to eye gaze) offer new perception capabilities, which could be used in several ML domains, e.g., egocentric perception, embodiedAI, NLP, etc. They can help infer human perception, intentions, beliefs, goals and other cognition properties that are much needed for human-AI interactions and agent coordination. In addition, large collections of eye-tracking data have enabled data-driven modeling of human visual attention mechanisms, both for saliency or scan path prediction, with twofold advantages: from the neuroscientific perspective to understand biological mechanisms better, from the AI perspective to equip agents with the ability to mimic or predict human behavior and improve interpretability and interactions.
With the emergence of immersive technologies, now more than any time there is a need for experts of various backgrounds (e.g., machine learning, vision, and neuroscience communities) to share expertise and contribute to a deeper understanding of the intricacies of cost-efficient human supervision signals (e.g., eye-gaze) and their utilization towards by bridging human cognition and AI in machine learning research and development. The goal of this workshop is to bring together an active research community to collectively drive progress in defining and addressing core problems in gaze-assisted machine learning.
** Call for Papers **
We welcome submissions that present aspects of eye-gaze in regards to cognitive science, psychophysiology and computer science, propose methods on integrating eye gaze into machine learning, and application domains from radiology, AR/VR, autonomous driving, etc. that introduce methods and models utilizing eye gaze technology in their respective domains.
Topics of interest include but are not limited to the following:
Understanding the neuroscience of eye-gaze and perception.
State of the art in incorporating machine learning and eye-tracking.
Data annotation and ML supervision with eye-gaze.
Attention mechanisms and their correlation with eye-gaze.
Methods for gaze estimation and prediction using machine learning.
Unsupervised ML using eye gaze information for feature importance/selection.
Understanding human intention and goal inference.
Using saccadic vision for ML applications.
Use of gaze for human-AI interaction and agent coordination in multi-agent environments.
Eye gaze used for AI, e.g., NLP, Computer Vision, RL, Explainable AI, Embodied AI, Trustworthy AI.
Gaze applications in cognitive psychology, radiology, neuroscience, AR/VR, autonomous cars, privacy, etc.
** Submission Guidelines **
Submissions must be written in English and must be sent in PDF format. Each submitted paper must be no longer than nine (9) pages, excluding appendices and references. Please refer to the NeurIPS2022 formatting instructions for instructions regarding formatting, templates, and policies. The submissions will be peer-reviewed by the program committee and accepted papers will be presented as lightning talks during the workshop.
Submit your paper at https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/GMML before the September 22 deadline.
** Awards and Funding **
Possibly award prizes for best papers or cover registration fees of presenting authors with a focus on underrepresented minorities.
** Important dates for Workshop paper submission **
Paper submission deadline: September 22, 2022
Notification of acceptance: October 14, 2022
Workshop: December 3, 2022 (in person)
** Organizing Committee **
Ismini Lourentzou (Virginia Tech)
Joy Tzung-yu Wu (Stanford, IBM Research)
Satyananda Kashyap (IBM Research)
Alexandros Karargyris (IHU Strasbourg)
Leo Antony Celi (MIT)
Ban Kawas (Meta, Reality Labs Research)
Sachin Talathi (Meta, Reality Labs Research)
** Contact **