ICLR Blog – ICLR Blog
January 13 2026 Workshops at ICLR 2026 Carl Vondrick ICLR 2026 Workshop Chairs: Andre Araujo, Adji Bousso Dieng, Nezihe Merve Gürel, Yanan Sui TLDR: Accepted Workshops at ICLR 2026 (ordered by submission ID) ICLR 2026 Workshop on AI with Recursive Self-ImprovementCatch, Adapt, and Operate: Monitoring ML Models Under DriftAI for PeaceAI for Mechanism Design and Strategic Decision Making (AIMS)Workshop on Multi-Agent Learning and Its Opportunities in […]
Executive Summary
This article announces the accepted workshops at the International Conference on Learning Representations (ICLR) 2026. The workshops cover a range of topics, including AI with Recursive Self-Improvement, monitoring ML models under drift, AI for peace, and multi-agent learning. The article provides a concise list of accepted workshops, ordered by submission ID. This information is relevant to researchers and practitioners in the field of artificial intelligence and machine learning. The article does not provide in-depth analysis or insights, but rather serves as a brief announcement of the workshops.
Key Points
- ▸ ICLR 2026 will feature a range of workshops on AI and machine learning
- ▸ The workshops cover topics such as recursive self-improvement, model monitoring, and multi-agent learning
- ▸ The article provides a list of accepted workshops, ordered by submission ID
Merits
Comprehensive listing of workshops
The article provides a concise and comprehensive listing of the accepted workshops at ICLR 2026, allowing readers to easily identify the topics and researchers involved
Demerits
Lack of in-depth analysis
The article does not provide in-depth analysis or insights into the topics or research involved in the workshops
Expert Commentary
The article provides a brief and informative announcement of the accepted workshops at ICLR 2026. While it does not provide in-depth analysis or insights, it serves as a useful resource for researchers and practitioners looking to stay up-to-date with the latest developments in the field. The comprehensive listing of workshops will be particularly useful for those looking to identify areas of interest or research opportunities. In terms of future developments, it will be interesting to see how the topics and research areas covered in these workshops evolve and impact the field of AI and machine learning.
Recommendations
- ✓ For readers interested in AI and machine learning, the article provides a useful resource for identifying areas of interest and research opportunities at ICLR 2026
- ✓ Researchers and practitioners may also want to consider submitting their own work or participating in the workshops, in order to engage with the latest developments and advancements in the field
