Journal To Conference
The NeurIPS/ICLR/ICML Journal-to-Conference Track The Boards of machine learning conferences NeurIPS, ICLR and ICML have jointly agreed on holding a joint Journal-to-Conference track, through which the authors of published journal papers at selected journals would be given the opportunity to present their work at one of these 3 conferences, of their choosing. This initiative is inspired by the Transactions of the Association for Computational Linguistics (TACL) of the NLP community, where published papers are eligible for presentation at sponsoring NLP conferences. The track considers certain published papers from the Journal of Machine Learning Research (JMLR) and the Transactions on Machine Learning Research (TMLR) , for presentation at an upcoming NeurIPS, ICLR or ICML. Eligibility Eligible papers must: Have been published at JMLR or TMLR no earlier than January 1st 2025. Moving forward, the eligibility year will increase by 1 year on January 1st of each year, so that the eligibility period is of at most 2 years since publication. Have received a J2C Certification, Featured Certification or Outstanding Certification f or TMLR publications. Not contain contributions that have already been published at a conference by the same authors. In other words, the journal paper cannot be an extension of a previous conference publication. Not have been presented at a prior edition of this NeurIPS/ICLR/ICML Journal-to-Conference Track. Request to present To request a presentation, the author of an eligible JMLR or TMLR published paper must submit their request through the following form: https://forms.gle/7baKjVfyaqPWp1nN6 (if for some reason you are not able to use this form, you may email us at journaltoconferencetrack@gmail.com ) Each conference has its own deadline for receiving requests and capacity limits , as follows: ICLR 2026: January 25th 2026 , capacity limit of 150 ICML 2026: May 3rd 2026 , capacity limit of 150 NeurIPS 2026: September 26th , capacity limit of 150 All requests to present eligible papers (as defined above) will be accepted, up until the presentation capacity of the host conference is reached. For more information, see the FAQ below or reach out to us at journaltoconferencetrack@gmail.com . Barbara Engelhardt, Hugo Larochelle, Naila Murray Oversight Committee NeurIPS/ICLR/ICML Journal to Conference Track FAQ Q: Which journal(s) are eligible? A: JMLR or TMLR. This includes JMLR MLOSS (Machine Learning Open Source Software). Q: Does this track accept journal papers that are extensions of a previous conference publication by the same authors? A: No . Q: How old can eligible journal papers be? A: The paper must have been published by JMLR or TMLR no earlier than January 1st 2025. For TMLR, the publication date is the date on which the approved camera ready version of the publication appears on the OpenReview page of the publication. Q: Will the paper be included in the chosen conference’s proceedings? A: No. This track only provides an additional opportunity to present the work. It shall not be considered as being published in the proceedings of the chosen conference. Q: Do I have to submit a version of the journal paper in the conference’s publication style format? A: No. We will only require the journal in its JMLR or TMLR paper format. Q: The journal has confirmed my paper is accepted by email, however the paper doesn't yet appear in the proceedings. Can I still submit a request? A: No. For JMLR, we require that you provide a valid and working link to the PDF of your paper from the journal's proceedings site . For TMLR, we require a link to the OpenReview page containing the final camera ready version of the publication. Q: What type of presentation will be provided by the chosen conference? A: Generally, the presentation offered will follow the format of a typical poster presentation at the chosen conference. The exact session that will include the presentation will be decided by each conference committee while creating the conference program. Q: What is the review process, how are papers selected? A: There is no further peer review done on submitted papers; they are only checked to ensure they meet the eligibility criteria (see Eligibility above). Q: May the deadline be extended / can I request a deadline extension? A: No; the deadline is already as late as possible (for venue planning, visa purposes etc.) and is firm. Extensions will not be made for any reason. Successful Page Load NeurIPS uses cookies for essential functions only. We do not sell your personal information. Our Privacy Policy » Accept
Executive Summary
The NeurIPS/ICLR/ICML Journal-to-Conference Track is a new initiative that allows authors of published journal papers at selected journals to present their work at one of the three conferences, NeurIPS, ICLR, or ICML. The track considers papers from the Journal of Machine Learning Research (JMLR) and the Transactions on Machine Learning Research (TMLR) that meet specific eligibility criteria, including publication date, certification, and prior presentation. The initiative aims to provide a new platform for researchers to share their work and foster collaboration within the machine learning community. The track has specific deadlines and capacity limits for each conference, and authors must submit their requests through a designated form or email. This initiative has the potential to promote interdisciplinary collaboration and knowledge sharing within the machine learning community.
Key Points
- ▸ The Journal-to-Conference Track is a joint initiative by NeurIPS, ICLR, and ICML.
- ▸ Eligible papers must be published in JMLR or TMLR no earlier than January 1st 2025.
- ▸ Papers must receive a J2C Certification, Featured Certification, or Outstanding Certification for TMLR publications.
- ▸ Authors must submit their requests through a designated form or email by specific deadlines for each conference.
Merits
Promotes interdisciplinary collaboration
The Journal-to-Conference Track provides a new platform for researchers from different fields to share their work and collaborate within the machine learning community.
Fosters knowledge sharing
The track allows authors to present their work to a wider audience, promoting the dissemination of knowledge and ideas within the machine learning community.
Demerits
Limited capacity and deadlines
The track has specific capacity limits and deadlines for each conference, which may limit the number of eligible papers that can be presented.
Eligibility criteria may be restrictive
The eligibility criteria, such as publication date and certification, may be restrictive and limit the number of eligible papers.
Expert Commentary
The Journal-to-Conference Track is a welcome initiative that recognizes the importance of knowledge sharing and collaboration within the machine learning community. By providing a new platform for researchers to present their work, the track has the potential to promote interdisciplinary collaboration and foster the development of new research collaborations and projects. However, the limited capacity and deadlines may limit the number of eligible papers that can be presented, and the eligibility criteria may be restrictive. Nevertheless, the track is a positive step towards promoting open access publications and reducing barriers to knowledge sharing within the machine learning community.
Recommendations
- ✓ Authors should carefully review the eligibility criteria and deadlines for each conference before submitting their requests.
- ✓ The track organizers should consider increasing the capacity limits for each conference to accommodate more eligible papers.
