Exciting good news! The first editors and founders of this new journal will be the well known and highly cited researchers Hugo Larochelle, Raia Hadsell, and Kyunghyun Cho.
I am looking forward to the first edition!
Motivation for another journal: "The field of machine learning has grown exponentially over the last decade, and we [the three editors/founders] have observed firsthand the pains that come with such growth. Some of these pains are practical, manifested in the crashing review platforms or overcrowded poster halls. But others strike deeper, revealing themselves through disenchantment with the exclusivity of our top conferences, or criticisms that conferences don’t seem to be sufficiently successful at highlighting the most impactful work, have slow turnaround from submission to decision, create high-stakes pressure and stress around a handful of fixed deadlines, and are perceived to be diminishing in the quality of the peer review process."
Aims of the new journal: "This journal is a sister journal of the existing, well-known Journal of Machine Learning Research (JMLR), along with the Proceedings of Machine Learning Research (PMLR) and JMLR Machine Learning Open Source Software (MLOSS). However it departs from JMLR in a few key ways, which we hope will complement our community’s publication needs. Notably, TMLR’s review process will be hosted by OpenReview, and therefore will be open and transparent to the community. Another differentiation from JMLR will be the use of double blind reviewing, the consequence being that the submission of previously published research, even with extension, will not be allowed. Finally, we intend to work hard on establishing a fast-turnaround review process, focusing in particular on shorter-form submissions that are common at machine learning conferences. ...
Certifications This will be a unique feature of TMLR, which is aimed at separating editorial statements on submitted work from their claim-based scientific assessment. An accepted paper will have the opportunity of being tagged with certifications, which are distinctions meant to highlight submissions with additional merit."
Certifications This will be a unique feature of TMLR, which is aimed at separating editorial statements on submitted work from their claim-based scientific assessment. An accepted paper will have the opportunity of being tagged with certifications, which are distinctions meant to highlight submissions with additional merit."
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