Conference on Neural Information Processing Systems
PulseAugur coverage of Conference on Neural Information Processing Systems — every cluster mentioning Conference on Neural Information Processing Systems across labs, papers, and developer communities, ranked by signal.
- instance of AI safety 90%
- competes with International Conference on Machine Learning 70%
- instance of International Conference on Learning Representations 70%
- instance of Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 70%
- used by OpenReview 70%
- competes with International Conference on Learning Representations 60%
- competes with AAAI Conference on Artificial Intelligence 60%
- affiliated with International Conference on Machine Learning 50%
- affiliated with Association for Computational Linguistics 50%
14 day(s) with sentiment data
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NeurIPS paper submission: User seeks advice on rebuttal process
A user on the r/MachineLearning subreddit is seeking advice on the rebuttal process for a position paper submitted to the NeurIPS conference. They received scores of 3/3/5/7 and are looking for guidance on how to effect…
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NeurIPS paper with average rating of 3 faces uncertain acceptance
A researcher is seeking advice on whether to proceed with a rebuttal for their paper submitted to the NeurIPS E and D track. The paper received an average rating of 3 and a confidence score of 4, leading the researcher …
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AI research at risk from inconsistent third-party model providers
Researchers using third-party AI model providers, such as OpenRouter, risk invalidating their findings due to inconsistent model quality and configurations. A review of influential AI safety research codebases revealed …
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NeurIPS meta-review release delayed, causing confusion among researchers · 3 sources tracked
Researchers are experiencing delays and confusion regarding the release of meta-reviews for the NeurIPS conference. While some authors have received their reviews, many others are still waiting, with the official releas…
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NeurIPS E and D track submissions face review delays
Submissions to the NeurIPS E and D tracks are not showing any reviews, even after the review deadline has passed. This has caused concern among authors who are unsure about the status of their papers. The lack of visibl…
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NeurIPS reviews face access issues on OpenReview platform
The Conference on Neural Information Processing Systems (NeurIPS) has seen its review process begin, with participants experiencing issues accessing the OpenReview platform. This has led to user inquiries about the stat…
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OpenReview platform refresh aims to boost reviewer engagement for NeurIPS
The OpenReview platform has undergone a refresh, coinciding with the NeurIPS conference. An Area Chair noted that new incentives have improved reviewer engagement and reduced the need for chasing reviewers. The hope is …
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AI explainability research must prioritize foundations over ad-hoc methods
A new position paper argues that explainable AI (XAI) research needs to shift focus from developing numerous ad-hoc methods to addressing fundamental challenges. The paper highlights that current XAI techniques, such as…
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Apple researchers propose cost-saving unlearning method for AI models
Researchers from Apple Inc., Harvard University, and University College London have developed a new method for machine learning unlearning that significantly reduces computational costs. Their approach identifies and le…
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NeurIPS 2026 workshop to focus on real-time conversational AI
A new workshop, Real-Time Conversational Agents (RTCA), will be held at NeurIPS 2026, focusing on the development of natural, multimodal conversational AI. The workshop aims to bring together researchers from various fi…
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Apple ML Research unveils fast interactive proofs for large data
Apple Machine Learning Research has published a paper detailing "Doubly Sub-linear Interactive Proofs of Proximity" (dsIPPs). These proofs allow for ultra-fast generation by reading only a small portion of a large input…
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Researchers lament shift from specialized conferences to few flagship events
A discussion on the r/MachineLearning subreddit highlights a perceived shift in the academic research landscape, with participants noting a decline in the prominence of specialized conferences. Users express nostalgia f…
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AI safety research surges at major ML conferences, analysis shows
A new analysis of machine learning conference papers reveals a significant increase in AI safety research. Out of over 55,000 papers analyzed from ICLR, ICML, and NeurIPS between 2019 and 2026, 2,328 (4.2%) were classif…
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AI researchers question reliability of new deep learning theory monograph
A user on r/MachineLearning is seeking community input regarding the reliability of a new monograph that proposes a unified theory of deep learning through information theory. The monograph claims to design a "white-box…
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China vs. US AI Talent: Analysis Questions Viral Superiority Claims
An analysis of China's AI development compared to the US, focusing on talent acquisition and research output, questions the narrative of China's superiority. Examination of NeurIPS authorship and MacroPolo talent tracki…
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NeurIPS conference AI submissions spark outrage over detected cheating
The NeurIPS conference is facing backlash after AI-generated content was submitted and subsequently discovered. Researchers who submitted AI-generated work are reportedly upset about being caught, highlighting ongoing i…
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ML Conferences Gain Prestige Over Journals Amidst AI Boom
The machine learning community is observing a shift in prestige, with major conferences like ICML and NeurIPS gaining prominence over traditional academic journals in recent years. This trend is attributed to the rapid …
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New AI suite aids research ideation by grounding ideas in evidence
Researchers have developed ResearchStudio-Idea, a suite of skills designed to enhance the initial stages of research ideation. This suite includes tools for literature search (Paper-Search), novelty checking (Scoop-Chec…
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AI-generated phantom references infiltrate top-tier scientific conferences
A new study published on arXiv has revealed that large language models are contributing to the problem of "phantom references" or hallucinated citations in scientific papers. These fabricated citations, which do not res…
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PhD student details path to first top-tier AI conference paper acceptance
A PhD student shares their personal journey of getting their first top-tier AI conference paper accepted. The process involved numerous failed experiments and extensive revisions before achieving acceptance.