Workshops at ICLR 2026
January 13 2026 Workshops at ICLR 2026 Carl Vondrick ICLR 2026 Workshop Chairs: Andre Araujo, Adji Bousso Dieng, Nezihe Merve Gürel, Yanan Sui TLDR: 151 (135 valid) workshop proposal submissions 40 accepted workshops Efforts by ICLR 2026 Workshop Chairs & Reviewers Workshops on April 26 and 27, 2026 Accepted Workshops at ICLR 2026 (ordered by submission ID) ICLR 2026 Workshop on AI with Recursive Self-Improvement Catch, Adapt, and Operate: Monitoring ML Models Under Drift AI for Peace AI for Mechanism Design and Strategic Decision Making (AIMS) Workshop on Multi-Agent Learning and Its Opportunities in the Era of Generative AI Representational Alignment (Re$^4$-Align) The 2nd Workshop on Foundation Models for Science: Real-World Impact and Science-First Design Learning Meaningful Representations of Life (LMRL) Workshop @ ICLR 2026 ICLR 2026 Workshop on Memory for LLM-Based Agentic Systems (MemAgents) 2nd Workshop on World Models: Understanding, Modelling and Scaling Agentic AI in the Wild: From Hallucinations to Reliable Autonomy Lifelong Agents: Learning, Aligning, Evolving Latent & Implicit Thinking – Going Beyond CoT Reasoning 3rd Workshop on Navigating and Addressing Data Problems for Foundation Models (DATA-FM) VerifAI-2: The Second Workshop on AI Verification in the Wild New Frontiers in Associative Memories Unifying Concept Representation Learning ReALM-GEN: Real-World Constrained and Preference-Aligned Flow- and Diffusion-based Generative Models Deep Generative Model in Machine Learning: Theory, Principle and Efficacy （ 2nd Workshop ） Algorithmic Fairness Across Alignment Procedures and Agentic Systems Geometry-grounded Representation Learning and Generative Modeling 4th ICLR Workshop on Machine Learning for Remote Sensing AI&PDE: ICLR 2026 Workshop on AI and Partial Differential Equations AI4MAT-ICLR-2026: ICLR 2026 Workshop on AI for Accelerated Materials Design The 2nd Workshop on Advances in Financial AI Workshop: Towards Agentic and Responsible Systems Workshop on Scaling Post-training for LLMs (SPOT) Machine Learning for Genomics Explorations (MLGenX) Agents in the Wild: Safety, Security, and Beyond Integrating Generative and Experimental Platforms for Biomolecular Design I Can’t Believe It’s Not Better: Where Large Language Models need to improve 1st ICLR Workshop on Time Series in the Age of Large Models Scientific Methods for Understanding Deep Learning (Sci4DL) The First Workshop on Efficient Spatial Reasoning (ES-Reasoning @ ICLR 2026) Principled Design for Trustworthy AI: Interpretability, Robustness, and Safety Across Modalities Generative AI in Genomics (Gen^2): Barriers and Frontiers From Human Cognition to AI Reasoning: Models, Methods, and Applications Post-AGI Science and Society Workshop Workshop on Logical Reasoning of Large Language Models ICLR 2026 Workshop on Multimodal Intelligence: Next Token Prediction and Beyond The 3rd Workshop on Test-Time Updates (TTU) We thank everyone who prepared and submitted a workshop proposal to ICLR 2026. We were impressed by the quality of the proposals. This year, we received an unprecedented number of 135 valid submissions and were able to accept 40 proposals based on the number of available rooms in the conference venue. We particularly want to thank our team of reviewers. Selection Process Working within the workshop space allocation in Rio de Janeiro, the workshop chairs worked to balance multiple goals. Workshop organizers were provided with guidance criteria for proposals, including hard workshop requirements including COI management, participation limits, platforming contributed work, Tiny Paper track support, in-person planning, and LLM usage policy. Reviewers were asked to check these criteria. Each proposal received at least three reviews. All reviews and scores were checked by workshop chairs for fairness and errors. The high-ranking proposals were further evaluated on the softer selection criteria. In particular, workshop chairs aimed to ensure diversity – same topics, speakers, and organizers are not heavily recurring across multiple workshops. Final decisions and reviews were then released to authors. More details will be presented at the conference town hall. All organizers are recommended to follow the honor code and do not add new organizers(proposal authors) or change titles after submission. We recommend workshops to follow the same LLM Usage Policies for ICLR 2026 main conference. Figure 1: Flow of workshop decisions for ICLR 2026. Diagram made with support by Jonas Lorenz’s Sankey script . The topics of ICLR 2026 workshops range over Agentic Systems, Alignments, Continual Learning, Generative Models, Memory, Reasoning, Applications, etc. – a diverse set of representation learning advances. ICLR 2026 Workshops in Numbers 151: workshop proposal submissions (vs 122 in 2025, 1.24x increase) 417: reviews submitted by 74 workshop proposal reviewers 40: accepted workshops 16: desk rejected proposals (incomplete/irrelevant proposals) 95: reviewed and rejected proposals Workshops will be held on April 26 and 27, 2026. We look forward to supporting you in making your workshop a success. See you all in Rio de Janeiro! Figure 2: Comparison of proposal submissions and accepts ICLR 2024, 2025 and 2026.
Executive Summary
The article announces the workshops at ICLR 2026, a premier conference in the field of artificial intelligence. The organizers received 151 workshop proposal submissions, with 40 accepted workshops. The accepted workshops cover a range of topics, including AI with recursive self-improvement, multi-agent learning, and generative AI in genomics. The workshops will take place on April 26 and 27, 2026. The article showcases the diversity and breadth of research in the field of AI, highlighting the efforts of the workshop chairs and reviewers in curating a high-quality program.
Key Points
- ▸ 151 workshop proposal submissions were received for ICLR 2026
- ▸ 40 workshops were accepted out of the submissions
- ▸ The workshops cover a range of topics in AI, including recursive self-improvement, multi-agent learning, and generative AI in genomics
Merits
Strength in Diversity
The selection of 40 workshops showcases the diversity and breadth of research in the field of AI, highlighting the efforts of the workshop chairs and reviewers in curating a high-quality program.
High-Quality Program
The accepted workshops demonstrate a high level of quality, as evidenced by the rigorous review process and the expertise of the workshop chairs and reviewers.
Demerits
Limited Representation
The article does not provide information on the representation of underrepresented groups in the workshop program, which may limit the visibility and inclusion of diverse perspectives.
Lack of Context
The article does not provide sufficient context about the relevance and importance of the workshops, which may make it challenging for readers to understand the significance of the program.
Expert Commentary
The article highlights the significance of ICLR 2026 as a premier conference in the field of AI, showcasing the diversity and breadth of research in the field. The selection of 40 workshops demonstrates the high quality of the program, but also raises questions about the representation of underrepresented groups. The workshops cover a range of topics, including AI with recursive self-improvement, multi-agent learning, and generative AI in genomics, which are critical areas of research in AI. The article demonstrates the need for policymakers to invest in AI research and development, particularly in areas related to ethics and bias.
Recommendations
- ✓ Policymakers should invest in AI research and development, particularly in areas related to ethics and bias.
- ✓ Researchers and practitioners should prioritize the development of more effective and responsible AI systems, informed by the knowledge and best practices shared at the workshops.
