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ENTITY Transactions on Machine Learning Research

Transactions on Machine Learning Research

PulseAugur coverage of Transactions on Machine Learning Research — every cluster mentioning Transactions on Machine Learning Research across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 12 TOTAL
  1. TOOL · CL_260822 ·

    TMLR finds authors struggle to explain their submitted papers

    Transactions on Machine Learning Research (TMLR) contacted the authors of ten papers that were initially slated for desk rejection to gauge their understanding of their own work. The findings indicated a concerning lack…

  2. COMMENTARY · CL_260825 ·

    TMLR Review Process Questioned by Submitter Amidst Delays

    A user on the r/MachineLearning subreddit is seeking advice regarding the review process for a submission to Transactions on Machine Learning Research (TMLR). The user has received two reviews within a month but is now …

  3. COMMENTARY · CL_247534 ·

    TMLR faces criticism for slow review times impacting researchers

    A PhD student has expressed frustration over the prolonged review process for a paper submitted to Transactions on Machine Learning Research (TMLR). Despite receiving positive reviews and completing minor revisions, the…

  4. COMMENTARY · CL_247537 ·

    Undergrad seeks research collaboration in Test-Time Training for LLMs

    An undergraduate student from a tier-2 university in India is seeking research opportunities and compute resources for Test-Time Training (TTT) on Large Language Models (LLMs). The student has a draft paper on self-expl…

  5. COMMENTARY · CL_225599 ·

    Researchers debate publishing in TMLR vs. ACL findings

    A user on the r/MachineLearning subreddit is seeking advice on where to publish their research after receiving low scores for a NeurIPS submission. They are weighing the options between publishing in Transactions on Mac…

  6. COMMENTARY · CL_200756 ·

    TMLR Prestige Questioned Against Top AI Conferences and Journals

    A user on r/MachineLearning is seeking to understand the prestige and relevance of the journal Transactions on Machine Learning Research (TMLR). They are comparing it to top-tier conferences like NeurIPS, ICLR, and ICML…

  7. TOOL · CL_195710 ·

    Message-Passing GNNs Face Theoretical Limits in Handling Triangular Factorizations

    A recent paper published in Transactions on Machine Learning Research highlights a theoretical limitation of Message-Passing Graph Neural Networks (GNNs). The research demonstrates that these GNN architectures are funda…

  8. TOOL · CL_139993 ·

    TMLR paper review process sparks user query on subreddit

    A user on the r/MachineLearning subreddit is seeking advice regarding the review process for their paper submitted to Transactions on Machine Learning Research (TMLR). The paper was assigned reviewers on April 23rd, and…

  9. TOOL · CL_84114 ·

    TMLR desk rejections prompt researcher questions on venue suitability

    A researcher on Reddit's r/MachineLearning subreddit is seeking to understand the commonality and reasons behind desk rejections from the Transactions on Machine Learning and Systems (TMLR) journal. The user received a …

  10. TOOL · CL_57177 ·

    Tomesphere tool integrates research papers with code, reviews, and citations

    A new tool called Tomesphere has been developed to enhance the research experience for academic papers. It offers a Chrome extension and a website that consolidate information from various sources like arXiv, OpenReview…

  11. TOOL · CL_108706 ·

    Google unveils Simula framework for controlled synthetic AI data generation

    Google researchers have introduced Simula, a new framework for generating synthetic datasets. Simula treats dataset creation as a form of mechanism design, allowing for fine-grained control over data coverage, complexit…

  12. RESEARCH · CL_00210 ·

    Google unveils Simula and CTCL for advanced synthetic data generation

    Google Research has introduced Simula, a framework that treats synthetic data generation as a mechanism design problem. This approach allows for fine-grained control over dataset characteristics like coverage, complexit…