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 International Conference on Machine Learning 90%
- instance of Instituto de Ciencias del Mar y Limnología 90%
- instance of DagsHub 90%
- instance of ScienceCast 90%
- instance of Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 70%
- instance of alphaXiv 70%
- instance of Gotit.pub 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%
- affiliated with alphaXiv 50%
- affiliated with OpenReview 50%
- 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
11 day(s) with sentiment data
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AIStats 2027: User seeks submission advice for finance paper
A user on the r/MachineLearning subreddit is seeking advice on where to submit a quantitative finance paper that has faced rejections from UAI and ICDM, despite receiving positive reviews at the latter. The user is cons…
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AI models struggle with real-world deployment due to data and interpretability gaps
AI models are becoming increasingly powerful, yet their deployment in real-world applications like urban traffic control remains challenging. Ziyue Li of the Technical University of Munich (TUM) highlights two key reaso…
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ML/DL student seeks roadmap for research publication at top conferences
A user on the r/MachineLearning subreddit is seeking guidance after completing their studies in Machine Learning and Deep Learning. Their ultimate goal is to conduct research at the level of top conferences like NeurIPS…
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Stat/Prob ML Researchers Seek New Venues Amid LLM Dominance in Top Conferences
A researcher in statistical and probabilistic machine learning is observing a significant shift in top-tier ML conferences, with LLM-based works and agentic approaches dominating poster sessions and workshops. This tren…
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New benchmark reveals LLM agents struggle with faithful scientific paper reproduction
Researchers have developed SA-Bench, a new benchmark designed to evaluate how accurately large language model agents can reproduce scientific papers. The benchmark identifies "semantic drift," where generated code devia…
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AAAI 2027 acknowledges reviewer collusion and reproducibility issues
The AAAI 2027 conference organizers have acknowledged instances of collusion during the reviewer bidding and assignment process, particularly concerning "2-cycles" where authors mutually review each other's papers. This…
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New AI framework streamlines health sciences peer review with human oversight
Researchers have developed a new framework for triple-blind, multi-LLM pre-screening of academic papers in health sciences to address the strain on traditional peer review. This system routes submissions through five st…
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ICLR Submission: Numbered Citations vs. Author-Year Format
A user on the r/MachineLearning subreddit is inquiring about the possibility of using numbered citations in submissions to the International Conference on Learning Representations (ICLR). The user notes that the officia…
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Honor launches "Robot Phone" to redefine its AI identity
Honor has launched its "Robot Phone," a device featuring a mechanical gimbal for advanced interaction and tracking, priced at 9,999 yuan. This move positions Honor as a player in embodied AI, aiming to create a new narr…
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NeurIPS 2026 author notifications near ICLR deadline
The author notification date for NeurIPS 2026 has been set for September 24th. This date is causing concern due to its proximity to the ICLR paper submission deadline of September 25th. The user is also experiencing fru…
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Samsung unveils AI models for wearable health data analysis
Samsung Research America has developed two AI foundation models, xMAE and HiMAE, designed to analyze biosignal data from wearable devices. These models utilize self-supervised learning to extract insights from unlabeled…
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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…
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AI safety should shift from training to runtime contracts, paper argues
A new paper argues that AI safety should be enforced through runtime contracts rather than solely during the training phase. The authors propose a two-pronged approach: a preventive face that blocks dangerous actions be…
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AI agents uncover widespread errors in top AI conference papers
A recent study utilizing AI agents has revealed significant issues with the reproducibility of academic papers, particularly in top-tier AI conferences. Researchers found that a substantial percentage of papers presente…
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New benchmark evaluates scientific novelty metrics for AI scientists
Researchers have developed a new benchmark to evaluate the scientific novelty of papers, addressing the challenge of quantifying this aspect, especially with the rise of AI scientists. The benchmark tests novelty metric…
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AI Researchers Debate Conference Submission Policies Amidst Deadline Confusion
A user on Reddit's r/MachineLearning subreddit is seeking clarification regarding submission policies for two major AI conferences, ICLR and NeurIPS. The user is confused about the timeline, as the ICLR abstract submiss…
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AI Conference Reviews Under Scrutiny for Excessive Demands
A discussion on the r/MachineLearning subreddit questions whether conference reviews are asking too much from authors. Specifically, reviewers are reportedly requesting lengthy additions that extend the scope of papers …
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New research shows LLMs subtly shift meaning and voice in human writing
A new research paper reveals that large language models (LLMs) significantly alter human writing beyond just style. The study found that LLM interventions, even simple editing requests, can shift the meaning, stance, an…
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ML Peer Review Scores Incomparable Across Topics, Study Finds
A new position paper published on arXiv argues that reviewer scores in Machine Learning peer review are not comparable across different research areas. The paper analyzes data from the International Conference on Learni…
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Apple researchers unveil MoMo for adaptable robot manipulation
Apple researchers have developed MoMo, a two-stage imitation-learning framework designed to enable robots to adapt their manipulation behaviors to different contexts. The system uses a spatiotemporal action tokenizer an…