Karargyris A, Ahmed S, de Belen RA, Banerjee B, Ibrayev T, Kashyap S, Krupinski E, Kuang C, Madu P, Madu AB, Makowski S, Mathew AM, Rolff T, Shi B, Wu J, Zanca D (2023)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2023
Publisher: ML Research Press
Series: Proceedings of Machine Learning Research
Book Volume: 226
Pages Range: 280-288
Conference Proceedings Title: Proceedings of The 2nd Gaze Meets ML workshop
Event location: New Orleans, LA
URI: https://proceedings.mlr.press/v226/karargyris24a.html
The Gaze Meets ML (GMML) workshop at NeurIPS aims to bring together diverse machine learning communities to foster research that leverages eye gaze (visual attention) to fulfill synergy between human attention/cognition and machine learning model development and evaluation. Towards this mission, the 2023 GMML workshop ran a breakout session to foster the research community by discussing open challenges. Three focus breakout session areas were identified through a selection process: Datasets, Community, and Vision and Actions for the Future. The findings and discussion points from this session were collected during the meeting and further organized and expanded after the meeting for efficient presentation here. The following sections detail each topic.
APA:
Karargyris, A., Ahmed, S., de Belen, R.A., Banerjee, B., Ibrayev, T., Kashyap, S.,... Zanca, D. (2023). Discussion and recommendations from the 2023 ”Gaze Meets ML” workshop breakout session. In Amarachi Madu Blessing, Joy Wu, Danca Zario, Elizabeth A. Krupinski, Satyananda Kashyap, Alexandros Karargyris (Eds.), Proceedings of The 2nd Gaze Meets ML workshop (pp. 280-288). New Orleans, LA, US: ML Research Press.
MLA:
Karargyris, Alexandros, et al. "Discussion and recommendations from the 2023 ”Gaze Meets ML” workshop breakout session." Proceedings of the 2nd Gaze Meets Machine Learning Workshop 2023, New Orleans, LA Ed. Amarachi Madu Blessing, Joy Wu, Danca Zario, Elizabeth A. Krupinski, Satyananda Kashyap, Alexandros Karargyris, ML Research Press, 2023. 280-288.
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