Sep. 17, 2021Sep. 30, 2021
Paper Acceptance Notification: Oct. 20, 2021(delayed)
Poster Submission Deadline: Oct. 31, 2021
Poster Acceptance Notification: Nov. 12, 2021
Camera-ready Deadline: Nov. 12, 2021
Workshop Date: Dec. 6-14th, 2021
The workshop solicits the following submissions.
Formatting guidelines, LaTex styles and Word template:
Submission site: https://cmt3.research.microsoft.com/QTNML2021
The reviewing process is double-blind. All submissions will be peer reviewed and evaluated based on technical contribution, originality, relevance to areas of interest, and presentation clarity. Papers may be accepted for either oral or poster presentation. We will also publish all the accepted papers and extended abstracts on the workshop website (with the authors' permission).
All submissions will be evaluated based on technical contribution, originality, relevance to areas of interest, and presentation clarity. Papers may be accepted for either oral or poster presentation.
This workshop is a non-archival venue and there will be no published proceedings. The accepted papers will be posted on the workshop website. It will be possible to submit the workshop submissions to other conferences and journals, if they accept such submissions.
This workshop aims to promote discussions among researchers investigating innovative QTNML technologies from perspectives of fundamental theory and algorithms, novel directions, and various applications in machine learning. Furthermore, researchers from multiple disciplines including machine learning, physics, and mathematics fields are encouraged to join the workshop to discuss the challenging problems and future research directions.
We are soliciting contributions that address a wide range of theoretical and practical issues including, but not limited to: