Workshops at ICLR 2025
By ICLR 2025 Workshop Chairs: Yanan Sui, Pierre Alquier, Nezihe Merve Gürel, Luis Oala, Adji Bousso Dieng
TL;DR
- 122 workshop proposal submissions (vs 103 in 2024, 1.18x increase)
- 40 accepted workshops (vs 20 in 2024, 2x increase)
- New efforts by ICLR 2025 Workshop Chairs
-
- 1) More transparent decisions
-
-
- Revamped, more transparent decision process: reviews released to authors, at least 3 reviews for every proposal
-
-
- 2) Double capacity
-
-
- 2 days of workshops on April 27 and 28, 2025 -> 2x number of accepted workshops, more room for focused discourse
-
-
- 3) Making new connections
-
-
- We particularly highlighted organizer teams that connect Americas, Europe and Africa with local ML/AI hubs in the Asia-Pacific region where the conference is held
-
-
- 4) Tiny Papers X Workshops
-
-
- DEI chairs aid workshop organizers in supporting a Tiny Paper track at their workshops, including funding opportunities for workshop attendees
-
We thank everyone who prepared and submitted a workshop proposal to ICLR 2025. We were impressed by the quality of the proposals. This year, we received an unprecedented number of 122 (1.18x increase over 2024) submissions and were able to accept 40 (2x increase over 2024) proposals based on the number of available rooms in Singapore. We particularly want to thank our team of reviewers. Workshops will be held on April 27 and 28, 2025. We are looking forward to supporting you in making your workshop a success – be it as an organizer, attendee, speaker or author. See you all in Singapore!

Selection Process
Working within the workshop space allocation in Singapore, the workshop chairs worked to balance multiple goals. Workshop organizers were provided with guidance criteria for proposals, including 6 hard workshop requirements comprising COI management, platforming contributed work, Tiny Paper track support and in-person planning. 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 top ranking proposals were further evaluated on 8 softer criteria. In particular, workshop chairs aimed to ensure i) the same speakers and organizers are not heavily recurring across multiple workshops and ii) workshops from local ML/AI hubs in the Asia-Pacific region are represented well. Final decisions and reviews were then released to authors.
ICLR 2025 Workshops in Numbers
- 122: workshop proposal submissions (vs 103 in 2024, 1.18x increase)
- 512: reviews submitted by 96 workshop proposal reviewers
- 40: accepted workshops (vs 20 in 2024, 2x increase)
- 3685: Expected number of author submissions to workshops (based on estimates by workshop organizers)

List of accepted workshops at ICLR 2025
- 1st Workshop on GenAI Watermarking (WMark@ICLR)
- 3rd ICLR Workshop on Machine Learning for Remote Sensing
- 7th Robot Learning Workshop: Towards Robots with Human-Level Abilities
- Advances in Financial AI: Opportunities, Innovations and Responsible AI
- AI for Nucleic Acids (AI4NA)
- AI4MAT-ICLR-2025
- Bidirectional Human-AI Alignment
- Deep Generative Model in Machine Learning: Theory, Principle and Efficacy
- Frontiers in Probabilistic Inference: Learning meets Sampling
- Generative and Experimental Perspectives for Biomolecular Design
- Generative Models for Robot Learning
- I Can’t Believe It’s Not Better: Challenges in Applied Deep Learning
- ICLR 2025 Workshop on Building Trust in LLMs and LLM Applications
- ICLR 2025 Workshop on Foundation Models in the Wild
- ICLR 2025 Workshop on Human-AI Coevolution
- ICLR 2025 Workshop on Scalable Optimization for Efficient and Adaptive Foundation Models
- ICLR Workshop on Navigating and Addressing Data Problems for Foundation Models (DATA-FM)
- Learning Meaningful Representations of Life (LMRL) Workshop @ ICLR 2025
- Machine Learning for Genomics Explorations (MLGenX)
- Machine Learning Multiscale Processes
- Modularity for Collaborative, Decentralized, and Continual Deep Learning
- Neural Network Weights as a New Data Modality
- New Frontiers in Associative Memories
- Open Science for Foundation Models
- Quantify Uncertainty and Hallucination in Foundation Models: The Next Frontier in Reliable AI
- Second Workshop on Representational Alignment
- Spurious Correlation and Shortcut Learning: Foundations and Solutions
- SSI-FM: Scaling Self-Improving Foundation Models without Human Supervision
- Tackling Climate Change with Machine Learning: Data-Centric Approaches in ML for Climate Action
- The Future of Machine Learning Data Practices and Repositories
- The Third Deep Learning for Code Workshop
- Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation
- VerifAI: AI Verification in the Wild
- Will Synthetic Data Finally Solve the Data Access Problem?
- Workshop on AI for Children: Healthcare, Psychology, Education
- Workshop on Embodied Intelligence with Large Language Models In Open City Environment
- Workshop on Reasoning and Planning for Large Language Models
- Workshop on Sparsity in LLMs (SLLM): Deep Dive into Mixture of Experts, Quantization, Hardware, and Inference
- World Models: Understanding, Modelling and Scaling
- XAI4Science: From Understanding Model Behavior to Discovering New Scientific Knowledge