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## AI Research Brief **Top ML Conferences Launch Joint Journal-to-Conference Track** NeurIPS, ICLR, and ICML have jointly launched a Journal-to-Conference track allowing authors of published JMLR and TMLR papers (published after Jan 1, 2025, with up to 2-year eligibility) to present at any of these three conferences [2]. This mirrors the TACL model in NLP and represents a significant shift in how peer-reviewed work reaches conference audiences. **TMLR Featured/Outstanding Papers Now Eligible for ICLR Spotlight** ICLR 2024 began inviting authors of TMLR publications with Featured or Outstanding certifications to present posters at the conference [3]. This creates a pathway for high-quality open-access work to gain visibility at top venues without traditional conference review, experiment running through 2024 to evaluate the collaboration [3]. **ICLR 2025 Spotlights Flow and Diffusion Model Fine-Tuning** Among notable ICLR 2025 papers, "Adjoint Matching" addresses fine-tuning flow and diffusion generative models using memoryless stochastic optimal control [4]. This suggests continued innovation in generative model training methods beyond scaling, with applications to controllable synthesis. **AI Research Diversifies Beyond LLM Scaling in 2025** A review of 23 influential 2025 papers reveals the research community is "moving beyond an almost exclusive focus on scaling large language models" [5]. This indicates renewed interest in diverse paradigms including multimodal learning, efficient architectures, and novel training objectives. **Conference Review Process May Undermine Breakthrough Research** A persistent community concern holds that top ML conferences systematically favor "mildly innovative papers," with groundbreaking work facing lower acceptance odds [1]. This tension between novelty and risk-averse reviewing remains a structural challenge for the field's most ambitious research. --- **Sources** [1] https://www.reddit.com/r/MachineLearning/comments/1cin6s8/d_something_i_always_think_about_for_top [2] https://neurips.cc/public/JournalToConference [3] https://blog.iclr.cc/2023/10/06/authors-of-tmlr-publications-with-featured-and-outstanding-certifications-at-iclr-2024 [4] https://medium.com/@ml_dl_explained/some-of-the-most-interesting-papers-to-watch-from-iclr-2025-eb3b187b1c71 [5] https://kseniase.medium.com/fod-133-23-research-papers-that-hint-where-ai-is-heading-4492fdfb70a9

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planning
1. Ingest the paper/news feed and identify all unique sources and papers in the batch. 2. Score each paper by relevance to the stated focus area, novelty of findings, and potential impact. 3. Select the top 5-7 papers ranked by score for detailed review. 4. Extract the core contribution, key method, and key result from each selected paper. 5. Draft five bullets that each capture one major finding, written for fast skimming, then trim any redundancy across bullets.
researching
searched the web, found 5 sources: [1] [D] Something I always think about, for top conferences like ICML ... https://www.reddit.com/r/MachineLearning/comments/1cin6s8/d_something_i_always_think_about_for_top The conference review process always favors mildly innovative papers. Usually, groundbreaking papers have lower chance of acceptance. [2] Journal To Conference https://neurips.cc/public/JournalToConference [Skip to yearly menu bar](#child-menu) ## Main Navigation [![conference_logo](/static/core/img/neurips-navbar-logo.svg)](/) * [NeurIPS](#) + [Help/FAQ](/FAQ) --- + [Contact NeurIPS](/Help/Contact) --- + [Create Profile](/Profile/create) --- + [Code of Ethics](/Conferences/2023/EthicsGuidelines) --- + [Code of Conduct](/public/CodeOfConduct) --- + [Journal To Conference Track](/public/JournalToConference) --- + [Diversity & Inclusion](/public/DiversityInclusion) --- + [Proceedings](https://proceedings.neurips.cc/) --- + [Future Meetings](/Conferences/FutureMeetings) --- + [Press](/Conferences/2025/Press) --- + [Exhibitor Information](/Exhibitors/exhibitorinfo) --- + [Privacy Policy](/public/PrivacyPolicy) --- + [Downloads](/Downloads) * [My Stuff](/MyStuff) [Login](/accounts/login?nextp=/Conferences/2026/CallForWorkshops ) ### **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](https://transacl.org/index.php/tacl) (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](https://jmlr.org/) (JMLR) and the [Transactions on Machine Learning Research](https://jmlr.org/tmlr/) (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 r [3] Authors of TMLR publications with Featured and Outstanding Certifications at ICLR 2024 – ICLR Blog https://blog.iclr.cc/2023/10/06/authors-of-tmlr-publications-with-featured-and-outstanding-certifications-at-iclr-2024 [Skip to content](#content) [![ICLR Blog](https://blog.iclr.cc/wp-content/uploads/ICLR-Logo.svg)](https://blog.iclr.cc "ICLR Blog") [Search](#) [Close Menu](#) # [Authors of TMLR publications with Featured and Outstanding Certifications at ICLR 2024](https://blog.iclr.cc/2023/10/06/authors-of-tmlr-publications-with-featured-and-outstanding-certifications-at-iclr-2024/) [Yizhou Sun](https://blog.iclr.cc/author/yizhou/) [ICLR 2024](https://blog.iclr.cc/category/iclr-2024/) ICLR has long been experimenting with the process of organizing its conferences. For example, recently ICLR joined NeurIPS and ICML in showcasing poster presentations of JMLR publications, through a joint Journal-to-Conference Track. Today, the [ICLR 2024](https://iclr.cc/Conferences/2024) organizing committee and the [TMLR](http://tmlr.org/) Editors-in-Chief are happy to announce that authors of TMLR publications that have been given a [Featured or Outstanding Certification](https://jmlr.org/tmlr/editorial-policies.html#certifications) are also invited to present their work in poster format at the upcoming ICLR conference in Vienna! TMLR has successfully launched in 2022 and, with this initiative, ICLR is hoping to direct more attention to some of the most exciting work published by TMLR since then. This is executed as an experiment for 2024, that is separate from the [NeurIPS/ICML/ICLR Journal-to-Conference Track](https://iclr.cc/public/JournalToConference) (notably it does not concern NeurIPS or ICML). Authors of eligible TMLR publications can submit a request to present through the following Google form: <https://forms.gle/HcDpXs1JrwKx5kEd9> . The deadline to submit a request is **January 17th 2024 EOD**. With this experiment, we’re hoping to learn more about whether and how TMLR and ICLR should collaborate on highlighting and showcasing exciting research from the AI community. For any questions, please contact [iclr2024.programchairs@gmail.com](mailto:iclr2024.programchairs@gmail.com). Yisong Y [4] Some of the Most Interesting Papers to Watch from ICLR 2025 https://medium.com/@ml_dl_explained/some-of-the-most-interesting-papers-to-watch-from-iclr-2025-eb3b187b1c71 1. Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control · 2. Rethinking Efficient 3D [5] FOD#133: 23 Research Papers That Hint Where AI Is Heading https://kseniase.medium.com/fod-133-23-research-papers-that-hint-where-ai-is-heading-4492fdfb70a9 In 2025, we saw an important shift: the research community began moving beyond an almost exclusive focus on scaling large language models

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cmpzxg4d ago
AI research brief covering new journal-to-conference tracks, TMLR spotlight eligibility, diffusion fine-tuning advances, and diversification beyond LLM scaling.

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