Oct. 02, 2020 Oct. 10, 2020
Acceptance Notification: Oct. 30, 2020
Camera-ready Deadline: Dec. 1st, 2020
Workshop Date: Dec. 11th, 2020
The workshop solicits the following submissions.
Formatting guidelines, LaTex styles and Word template:
References and appendix should be appended into the same (single) PDF document, and do not count in the page limit.
Submission site: https://cmt3.research.microsoft.com/QTNML2020
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).
This workshop aims to promote discussions among researchers investigating innovative QTNML technologies from perspectives of fundamental theory and algorithms, novel approaches in machine learning and deep neural networks, and various applications in computer vision, biomedical image processing, natural language processing, and many other related fields. Furthermore, researchers from multiple disciplines including physics, mathematics, and machine learning 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: