International Conference on Learning Representations
PulseAugur coverage of International Conference on Learning Representations — every cluster mentioning International Conference on Learning Representations across labs, papers, and developer communities, ranked by signal.
- instance of Instituto de Ciencias del Mar y Limnología 90%
- instance of International Conference on Machine Learning 70%
- instance of Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 70%
- instance of Empirical Methods in Natural Language Processing 70%
- competes with International Conference on Machine Learning 60%
- competes with AAAI Conference on Artificial Intelligence 60%
- 2026-05-11 research_milestone Chinese researchers and companies submitted over 51% of accepted papers to the ICLR conference, indicating a strong global presence in AI research. source
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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 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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Apple researchers unveil interactive proof systems for distribution properties
Researchers from Apple and the Weizmann Institute of Science have developed interactive proof systems for verifying general distribution properties. These systems allow a verifier with limited samples to efficiently che…
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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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New benchmark questions LLM-as-a-judge peer review reliability
A new benchmark, Kahneman4Review, has been developed to assess the epistemic reliability of LLM-as-a-judge peer reviews. The benchmark, comprising 3,563 rated reviews, analyzes nine textual dimensions, eight bias diagno…
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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.
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AI Researchers Debate Recursive Self-Improvement for PhD Topics
A discussion on Reddit's r/MachineLearning subreddit explores the concept of Recursive Self-Improvement (RSI) in AI. Users are debating whether RSI is a viable and worthwhile area for PhD research, referencing a recent …
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New SciZoom benchmark tracks LLM impact on scientific writing
Researchers have introduced SciZoom, a large-scale benchmark designed to evaluate hierarchical scientific summarization and analyze writing trends in the era of large language models (LLMs). The benchmark includes over …
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LLMs analyze reviewer scores, finding rebuttals bounded by initial review structure
A new study published on arXiv investigates the impact of author rebuttals on peer-review scores in academic conferences, specifically examining data from ICLR 2024-2025. Researchers utilized LLMs, including Gemini Flas…
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ML PhD Graduation Debate: Top-Tier Paper vs. Solid Thesis
A discussion on the r/MachineLearning subreddit explores whether a PhD student in machine learning should be allowed to graduate without publishing a paper in a top-tier venue. The debate centers on a hypothetical scena…
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New benchmarks evaluate AI agents in enterprise and academic review tasks
New benchmarks are emerging for evaluating AI agents in complex, real-world scenarios. EnterpriseClawBench, derived from proprietary workplace sessions, offers 852 reproducible tasks for assessing enterprise agents, tho…
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Shenzhen Big Data Institute's 4 AI research papers accepted by ICML 2026
The Shenzhen Institute for Big Data Research has had four of its research papers accepted by ICML 2026, a top-tier international conference in machine learning. Two of the papers introduce novel optimization techniques …
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LLM Manuscript Scoring System Validated Against Peer Review Outcomes
Researchers have developed a system called AIPR that uses large language models to score academic manuscripts for quality. This system was validated against peer-review outcomes for 300 submissions to the International …
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AI Peer Review Vulnerable to Presentation-Only Attacks
Recent research highlights significant vulnerabilities in AI-assisted scientific peer review systems. Studies demonstrate that AI reviewers can be manipulated through presentation-only revisions, such as altering abstra…
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ML reading group to discuss interpretability and robustness
A PhD student is organizing a weekend reading group focused on machine learning interpretability and robustness. The group aims to foster discussion and diverse perspectives on recent papers from top conferences like IC…
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ML researchers discuss realistic timelines for top-tier conference papers
A discussion on Reddit's r/MachineLearning subreddit explores the typical timeline for producing a research paper suitable for top-tier machine learning conferences. Participants share insights into the duration from in…
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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…