Announcing the NeurIPS 2026 Workshops
We are excited to announce the list of NeurIPS 2026 workshops. We received 477 submissions (454 valid), a significant increase over last year’s numbers. From this great batch of submissions, we have accepted 102 workshops: 48, 28, and 26, to be hosted in Sydney, Paris, and Atlanta, respectively. The acceptance rates were 21.5%, 25.4%, and 23.6% for Sydney, Paris, and Atlanta, respectively. These variations reflect different numbers of submissions for each location and different numbers of rooms available per venue.
The workshops will take place on:
- Fri Dec 11 and Sat Dec 12, 2026 – Sydney
- Sat Dec 12 and Sun Dec 13, 2026 – Paris and Atlanta
Given the exceptional quality of submissions this year, we wish we could have accepted many more workshops. We want to thank everyone who put in tremendous effort in submitting a workshop proposal. We would also like to thank the reviewers who worked tirelessly to assess all proposals.
Selection Process
In making our selections, we asked the reviewers to closely follow our Guidance for Workshop Proposals, which was also shared with the proposal authors via the call for proposals. Workshop proposals must be reviewed somewhat differently from academic papers, and hence we asked the reviewers to consider both scientific merits and broader impacts in their assessments, including fitness for NeurIPS, potential for high impact, originality and novelty, quality and clarity, organizers’ quality, speakers’ quality, diversity and quality of logistics. We invited 1021 high-quality reviewers (mostly from past years’ top-reviewer lists) and managed to recruit 353. Each proposal had at least 2 assigned reviewers, whose reviews were summarized into metareview feedback.
Individual reviewers’ evaluations of proposals were important in the decision process, but they were not the only considerations. We also strove for a good balance among research areas, applications, and theory. As interest across research areas varies, some areas were more competitive than others.
This year, we also collected organizers’ preferences for workshop venues. With the exception of a handful of workshops that received their secondary preferred location, we were able to satisfy the primary preference constraints.
This year we introduced two constraints to safeguard the quality of workshops: we disallowed more than 8 organizers per workshop, and prohibited any organizer from being listed on more than 2 proposals. The vast majority of organizers followed these rules with the exception of 5 cases.
The next step is your contributions! Several workshops have begun soliciting submissions, many using our suggested submission date of Aug 29, 2026. We typically let each workshop advertise its own call for papers (if they plan to include workshop papers). We will communicate some additional deadlines to the workshop organizers to facilitate the successful planning of 102 exciting workshops. Stay tuned for more technical and contextual information coming soon!
NeurIPS 2026 Accepted workshops
Firstly, we would like to warn everyone against any informal workshop lists circulating on the internet — these lists are not affiliated with NeurIPS and do not contain reliable information. Below is the preliminary formal list of accepted workshops for 2026, ordered by location.
Sydney (48 workshops)
- Workshop on the Linguistic Principles for Foundation Models
- DiffuLM – Diffusion Language Models: Foundations, Efficiency, and Reasoning
- Beyond Next Token Prediction: Diffusion and Flow Models for Next-Generation Decoding
- Real-Time Conversational Agents: Toward Natural Multimodal Interaction
- AI for Science: Verification in the Age of AI Scientists
- AI for Stochastic Dynamics: From Theoretical Foundations to Scientific Applications
- On-Device Intelligence: Foundation Models under Real-World Constraints
- Foundation Models for Temporal Systems: From Forecasting to World Modeling
- Workshop for Autonomous Machine Learning Research
- Optimization for Machine Learning
- Dynamic Alignment in Human-AI Coupled Systems
- AI at Scale for Clinical Impact (ASCI): Cancer Pathology Foundation Models
- VLM4RWD: Grounded and Faithful Vision-Language Models for Real-World Deployment
- Trustworthy AI Evaluation (TAI-Eval)
- PTA: From Pretrained Representations to Acting Agents
- Agentic AI Benchmark and Application for Enterprise Tasks
- NeurIPS 2026 Workshop on Physical Understanding for Decision-Making: Bridging Foundation Models and Reliable Agents
- Tackling Climate Change with Machine Learning
- AI4Mat-NeurIPS-2026
- AI Foundations for Power Grids: From Models to Deployment at Scale
- World Models in Physical AI
- Machine Learning for Systems
- The Third Workshop on Agents in the Wild: Safety, Security, and Beyond
- Self-Evolving Diversity-Driven Search for Robust AI Systems
- Interpreting Agent Behavior (IAB): The First Workshop on Human-Centered Interpretation for Understanding Agents, Humans, and Interaction
- AI for Drug Discovery: Bridging the Translation Gap
- Machine Learning for Simulations in Biology and Chemistry – Simbiochem
- Responsible Communication of Machine Learning Research in Biomedicine (RCMLR)
- Collaborative, Open, and Decentralized training of Foundation Models
- Beyond Private Training: The New Landscape of AI Privacy
- The Third Workshop on GenAI for Health Agentic Systems, Clinical Trust, and Future Potential
- Continual World Models
- AgenticOS: Co-designing Systems and ML Foundations of an OS Layer for Agentic AI
- Neuro-Symbolic Embodied Intelligence
- Agentic AI for Biological Discovery: Toward Closed-Loop Life-Science Intelligence (AgenticLS)
- XAI4Science: Knowledge Discovery and Trust through Interpretable Foundation Models
- Transitioning from Pre-Training to Post-Training
- Interpretability as a Science: Toward Rigorous Foundations for Understanding LLMs
- Who Verifies the Agents? Toward Reliable Agent Development
- I Can’t Believe It’s Not Better (ICBINB): Failure Modes of AI in Biology
- 2nd Embodied Spatial Reasoning Workshop
- Symmetry and Geometry in Neural Representations (NeurReps)
- Third NeurIPS Workshop on Attributing Model Behavior at Scale: Data Attribution and Provenance
- Robot Learning with World Models: Capabilities, Frontiers, and Challenges
- First Workshop on Meta Agents: Managing Agents that Manage Agents
- 8th Robot Learning Workshop: Is Physical AI truly going zero-shot?
- Foundation Models for the Brain and Body
- Continual Learning in the Era of Foundation Models and Embodied Agents
Paris (28 workshops)
- Foundations of Language Model Security: Theory, Practice and Fundamental Limits
- Reinforcement Learning for Experimental Sciences
- RobotPAD: Post-Training Adaptation of Robot Foundation Models
- 2nd Workshop on Advances in Representation Learning for Earth Observation (REO-2)
- AI for Peace
- TS-LIMITS – Generalization for Time Series in Tight Settings: Latency, Inference, Memory, Privacy and Sustainability
- Privacy in the Era of Large Opaque Models: Theoretical, Legal and Practical Perspectives
- Real-Time Multimodal Conversational AI Workshop at NeurIPS 2026
- Sim2Science: ML with Imperfect Scientific Models
- Bridging Optimal Transport, Learning and Structured Data: Toward Geometric Distributional Learning
- Representations for the Physical Sciences
- Foundations of LLM Post-Training in Changing Environments
- ML4Molecules: Agentic Systems for Molecular Sciences
- LIGHT: Deployable Small Foundation Models
- E-values: from Statistics to ML
- PALM: Personalized, aligned, long-term memory for AI systems
- Trustworthy AI for Good (AI4GOOD) Workshop
- AIDaR: AI Data Readiness for Scientific Discovery
- Principles of Generative Modeling (PriGM)
- Neural Network Artifacts as a New Data Modality
- AI for Meta-Science: Scaling and Organizing Science in the Age of AI Scientists
- AI for Chip Design
- Machine Learning for Spatially Resolved High-dimensional Biology
- Foundations of Agentic Systems Theory
- AXIOM: Foundations of Efficient Deep Learning
- SLM-Agents: 1st Workshop on SLMs for Agentic Systems
- Grounded User Simulation for Model Evaluation and Training: Diversity, Fidelity, and Validity
- AI and the Self: Human Identity, Authenticity, and Agency in the Age of AI
Atlanta (26 workshops)
- The 1st Workshop on Physical World AI: Geometry, Characteristics, and Multimodal Sensing
- AI for Verifiable Coding
- The 6th Workshop on Mathematical Reasoning and AI
- DynaFront: Dynamics at the Frontiers of Learning, Sampling, and Games
- World Models for High-Stakes Health: Reliable Clinical Trial Simulation and Intervention-Aware Reasoning
- Interpretability for Discovery: Understanding and Discovering Novel Knowledge in AI Models
- NeurIPS 2026 Workshop on Medical Reasoning with Vision Language Foundation Models
- Can We Trust the Judge? Building Reliable Evaluation for Language Models
- Workshop on Evaluation of Interactive Agents
- NeurIPS 2026 Workshop on SaTQuML: Secure and Trustworthy Quantum Machine Learning
- EconML: Economics for Machine Learning
- Towards Test-Time Continual Learning Agents
- AI-Native Academia: Authorship, Peer Review, and Conference Governance under AI
- Continual Learning for Enterprise AI Agents
- AI Agents for Biomedical Imaging and Multimodal Clinical Data
- The BabyVLM Workshop: Toward Developmentally Plausible Multimodal Systems
- The Agentic Web: Networked, Continually-Adapting Agent Ecosystems
- SocialAgent: Second Workshop on Large Language Models for Social Reasoning and Simulation
- Workshop on Resource-Aware Agentic AI
- Workshop on Child Safety in AI
- The Third Workshop on Long-Context Foundation Models
- Human-AI Coevolution: Measuring Human-Agent Teams in the Agentic Era
- Second Workshop on ML×OR: Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making
- GEM: Integrating Generative and Experimental Platforms for Biomolecular Design
- DevAI: Developmental Perspectives on AI
- AI & Science: Evolution or Extinction?
NeurIPS 2026 Workshop Chairs
Ghada Zamzmi, Elisa Ricci, Shao-Hua Sun, Khoa Doan, Theodore Papamarkou, and Piotr Koniusz
NeurIPS 2026 Workshop Chairs Assistants
Nina Corvelo Benz, Junhao Dong