Transactions on Machine Learning Research
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Transactions on Machine Learning Research
@tmlrorg.bsky.social
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Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research

https://jmlr.org/tmlr/
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tmlrorg.bsky.social
Please fill out one of the following forms:
- Volunteer to review: docs.google.com/forms/d/17_G...
- Volunteer to action editor: docs.google.com/forms/d/15Nh....
Self-nomination (reviewers) -- Transactions on Machine Learning Research (TMLR)
Please fill out this form to volunteer to be a reviewer for Transactions on Machine Learning Research. More details on the journal are available on the website; in particular, check out the submissio...
docs.google.com
October 14, 2025 at 1:32 PM
tmlrorg.bsky.social
Thanks to Outstanding Certification committee: Michael Bowling, Brian Kingsbury, Andreas Kirsch, Yingzhen Li, Eleni Triantafillou.

Check out the blog post for details on the selection process! 7/7
medium.com/@TmlrOrg/ann...
Announcing the 2024 TMLR Outstanding Certification
By the 2024 TMLR Outstanding Paper Committee: Michael Bowling, Brian Kingsbury, Andreas Kirsch, Yingzhen Li, and Eleni Triantafillou
medium.com
January 8, 2025 at 5:41 PM
tmlrorg.bsky.social
Outstanding Finalist 3: "Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback" by Stephen Casper, Xander Davies et al. 6/n openreview.net/forum?id=bx2...
Open Problems and Fundamental Limitations of Reinforcement Learning...
Reinforcement learning from human feedback (RLHF) is a technique for training AI systems to align with human goals. RLHF has emerged as the central method used to finetune state-of-the-art large...
openreview.net
January 8, 2025 at 5:41 PM
tmlrorg.bsky.social
Outstanding Finalist 2: “DINOv2: Learning Robust Visual Features without Supervision," by Maxime Oquab, Timothée Darcet, Théo Moutakanni et al. 5/n openreview.net/forum?id=a68...
DINOv2: Learning Robust Visual Features without Supervision
The recent breakthroughs in natural language processing for model pretraining on large quantities of data have opened the way for similar foundation models in computer vision. These models could...
openreview.net
January 8, 2025 at 5:41 PM
tmlrorg.bsky.social
Outstanding Finalist 1: “Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models” (BIG-bench), by a very large team (450 authors). 4/n openreview.net/forum?id=uyT...
Beyond the Imitation Game: Quantifying and extrapolating the...
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabilities are as yet...
openreview.net
January 8, 2025 at 5:41 PM
tmlrorg.bsky.social
Outstanding Certification 2: “Holistic Evaluation of Language Models” (HELM), by a large team led by Percy Liang, Rishi Bommasani, and Tony Lee 3/n
openreview.net/forum?id=iO4...
Holistic Evaluation of Language Models
Language models (LMs) are becoming the foundation for almost all major language technologies, but their capabilities, limitations, and risks are not well understood. We present Holistic Evaluation...
openreview.net
January 8, 2025 at 5:41 PM
tmlrorg.bsky.social
This year we have 2 outstanding certifications, and 3 finalists!

Outstanding Certification 1: “Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration” by Mauricio Delbracio & Peyman Milanfar. 2/n
openreview.net/forum?id=Vmy...
Inversion by Direct Iteration: An Alternative to Denoising...
Inversion by Direct Iteration (InDI) is a new formulation for supervised image restoration that avoids the so-called ``regression to the mean'' effect and produces more realistic and detailed...
openreview.net
January 8, 2025 at 5:41 PM