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!

Figure 1: Flow of workshop decisions for ICLR 2025. Diagram made with support by Jonas Lorenz’ Sankey script.
Figure 1: Flow of workshop decisions for ICLR 2025. Diagram made with support by Jonas Lorenz’ Sankey script.

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)
Figure 2: Comparison of proposal submissions and accepts between ICLR 2024 and ICLR 2025.
Figure 2: Comparison of proposal submissions and accepts between ICLR 2024 and ICLR 2025.

List of accepted workshops at ICLR 2025

  1. 1st Workshop on GenAI Watermarking (WMark@ICLR)
  2. 3rd ICLR Workshop on Machine Learning for Remote Sensing
  3. 7th Robot Learning Workshop: Towards Robots with Human-Level Abilities
  4. Advances in Financial AI: Opportunities, Innovations and Responsible AI
  5. AI for Nucleic Acids (AI4NA)
  6. AI4MAT-ICLR-2025
  7. Bidirectional Human-AI Alignment
  8. Deep Generative Model in Machine Learning: Theory, Principle and Efficacy
  9. Frontiers in Probabilistic Inference: Learning meets Sampling
  10. Generative and Experimental Perspectives for Biomolecular Design
  11. Generative Models for Robot Learning
  12. I Can’t Believe It’s Not Better: Challenges in Applied Deep Learning
  13. ICLR 2025 Workshop on Building Trust in LLMs and LLM Applications
  14. ICLR 2025 Workshop on Foundation Models in the Wild
  15. ICLR 2025 Workshop on Human-AI Coevolution
  16. ICLR 2025 Workshop on Scalable Optimization for Efficient and Adaptive Foundation Models
  17. ICLR Workshop on Navigating and Addressing Data Problems for Foundation Models (DATA-FM)
  18. Learning Meaningful Representations of Life (LMRL) Workshop @ ICLR 2025
  19. Machine Learning for Genomics Explorations (MLGenX)
  20. Machine Learning Multiscale Processes
  21. Modularity for Collaborative, Decentralized, and Continual Deep Learning
  22. Neural Network Weights as a New Data Modality
  23. New Frontiers in Associative Memories
  24. Open Science for Foundation Models
  25. Quantify Uncertainty and Hallucination in Foundation Models: The Next Frontier in Reliable AI
  26. Second Workshop on Representational Alignment
  27. Spurious Correlation and Shortcut Learning: Foundations and Solutions
  28. SSI-FM: Scaling Self-Improving Foundation Models without Human Supervision
  29. Tackling Climate Change with Machine Learning: Data-Centric Approaches in ML for Climate Action
  30. The Future of Machine Learning Data Practices and Repositories
  31. The Third Deep Learning for Code Workshop
  32. Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation
  33. VerifAI: AI Verification in the Wild
  34. Will Synthetic Data Finally Solve the Data Access Problem?
  35. Workshop on AI for Children: Healthcare, Psychology, Education
  36. Workshop on Embodied Intelligence with Large Language Models In Open City Environment
  37. Workshop on Reasoning and Planning for Large Language Models
  38. Workshop on Sparsity in LLMs (SLLM): Deep Dive into Mixture of Experts, Quantization, Hardware, and Inference
  39. World Models: Understanding, Modelling and Scaling
  40. XAI4Science: From Understanding Model Behavior to Discovering New Scientific Knowledge