
Transactions on Machine Learning Research
@TmlrOrg
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Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research
Joined December 2021
Following the success of last year's initiative, RL Conference 2025 (@RL_Conference) is again having a Journal to Conference track!. Accepted TMLR within scope are invited to submit for consideration by May 1!. Link in next tweet 👇
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RT @gsp_workshop: 🚨 We're thrilled to partner with @TmlrOrg and are introducing a TMLR-to-GSP track 🥳🤝🏻. 👉🏻 Papers accepted into TMLR about….
docs.google.com
TMLR Journal Track – GSP Workshop 2025 We are excited to announce a special TMLR Journal Track at the 8th Edition of the Graph Signal Processing Workshop (GSP 2025), taking place May 14-16, 2025, in...
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New year, new editor-in-chief: we are excited to welcome Nihar B. Shah to the editors-in-chief of TMLR!. We bade farewell to founding EiC Kyunghyun Cho (@kchonyc), who has done immense sevice by co-founding and helping TMLR thrive the last several years.
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RT @TimDarcet: Very happy to say DINOv2 got outstanding certification finalist at TMLR! The models had an amazing reception already, but th….
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RT @StephenLCasper: Excited that our paper on RLHF was a finalist for TMLR’s outstanding certification! 🤯. I’m very thankful for the 31 coa….
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RT @RishiBommasani: @thegautamkamath @TmlrOrg @yifan_mai @percyliang Of course, and while I have the moment, let me flag that TMLR is my fa….
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RT @RishiBommasani: Today, HELM was recognized by @TmlrOrg with its best paper award!. The true success of HELM has been the sustained main….
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RT @docmilanfar: I'm delighted to note that our paper InDI has been selected as one of two Outstanding Paper awardees by the Transactions o….
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Thanks to Outstanding Certification committee: Michael Bowling (@MichaelHBowling), Brian Kingsbury, Andreas Kirsch (@BlackHC), Yingzhen Li (@liyzhen2), Eleni Triantafillou (@Eleni30fillou). Check out the blog post for details on the selection process! 7/7.
medium.com
By the 2024 TMLR Outstanding Paper Committee: Michael Bowling, Brian Kingsbury, Andreas Kirsch, Yingzhen Li, and Eleni Triantafillou
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Outstanding Finalist 3: "Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback" by Stephen Casper (@StephenLCasper), Xander Davies (@alxndrdavies) et al. 6/n
New paper: Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. We survey over 250 papers to review challenges with RLHF with a focus on large language models. Highlights in thread đź§µ
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Outstanding Finalist 2: “DINOv2: Learning Robust Visual Features without Supervision," by Maxime Oquab, Timothée Darcet (@TimDarcet), Théo Moutakanni (@TheoMoutakanni) et al. 5/n.
Announced by Mark Zuckerberg this morning — today we're releasing DINOv2, the first method for training computer vision models that uses self-supervised learning to achieve results matching or exceeding industry standards. More on this new work ➡️
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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.
After 2 years of work by 442 contributors across 132 institutions, I am thrilled to announce that the paper is now live: BIG-bench consists of 204 diverse tasks to measure and extrapolate the capabilities of large language models.
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Outstanding Certification 2: “Holistic Evaluation of Language Models” (HELM), by a large team led by Percy Liang (@percyliang), Rishi Bommasani (@RishiBommasani), and Tony Lee (@tonyh_lee) 3/n.
Language models are becoming the foundation of language technologies, but when do they work or don’t work? In a new CRFM paper, we propose Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of LMs. Holistic evaluation includes three elements:.
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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 (@2ptmvd) & Peyman Milanfar (@docmilanfar) 2/n.
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RT @LogConference: In collaboration with @TmlrOrg, we're excited to announce the new Journal Track for LoG 2024. Super simple submission p….
logconference.org
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