Connectionists: New Submission Deadline: October 8th for Gaze Meets ML Workshop @NeurIPS 2023

Tue Sep 26 03:38:27 EDT 2023

Dear all,

After numerous requests we decided to push the deadline of the paper
submission to *October 8th, 2023*. This is going to be the final submission
date.

The workshop aims at bringing together a diverse group of experts in the
areas of neuroscience, machine learning, reinforcement learning to discuss
the strong potential of visual attention in various tasks spanning from
data collection and annotation to causality, medical imaging reading.
Please find more information in the Call for Papers below.

Sincerely,

Alexandros Karargyris on behalf of the organizing committee

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The 2023 Gaze Meets ML workshop in conjunction with NeurIPS 2023

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*Webpage: **https://gaze-meets-ml.github.io/*
<https://gaze-meets-ml.github.io/>

*Twitter Handle: **https://twitter.com/Gaze_Meets_ML*
<https://twitter.com/Gaze_Meets_ML>

*Submission site:*  <https://cmt3.research.microsoft.com/OpenEDS2019>
*https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/Gaze_Meets_ML*
<https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/Gaze_Meets_ML>

*!!FINAL Submission deadline: October 8th, 2023!!*

*Date: December 16th, 2023*

*Location: New Orleans Convention Center, New Orleans, LA*

** *Overview* **

We are excited to host the second edition of Gaze Meets ML workshop in
December, 2023 in conjunction with NeurIPS 2023. The workshop will take
place in-person at New Orleans! We’ve got a great lineup of speakers
<https://gaze-meets-ml.github.io/gaze_ml_2023/speakers/>.

** *Background* **

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
scanpath 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 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.
   - 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.
   - Ethics of Eye Gaze in AI
   - Gaze applications in cognitive psychology, radiology, neuroscience,
   AR/VR, autonomous cars, privacy, etc.

*** Submission Guidelines ***

The workshop will feature two tracks for submission: a full, archival
proceedings track with accepted papers published in the Proceedings for
Machine Learning Research (PMLR) <https://proceedings.mlr.press/>; and a
non-archival, extended abstract track. Submissions to either track will
undergo the same double-blind peer review. Full proceedings papers can be
up to 15 pages and extended abstract papers can be up to 8 pages (both
excluding references and appendices). Authors of accepted extended
abstracts (non-archival submissions) retain full copyright of their work,
and acceptance of such a submission to Gaze Meets ML does not preclude
publication of the same material in another archival venue (e.g., journal
or conference).

Please submit your paper at
https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/Gaze_Meets_ML

*** 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* **

   - Final paper submission deadline: October 8th, 2023
   - Reviewing starts: September 30, 2023
   - Reviewing ends: October 16, 2023
   - Notification of acceptance: October 27, 2023
   - Workshop: December 16 2023 (in person)

*** Organizing Committee ***

Amarachi Mbakwe (Virginia Tech)

Joy Wu (Stanford, IBM Research)

Dario Zanca (FAU Erlangen-Nürnberg)

Elizabeth Krupinski (Emory University)

Satyananda Kashyap (IBM Research)

Alex Karargyris (MLCommons)

*** Contact* **

Organizing Committee gaze.neurips at gmail.com
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