[CfP ] ICML'26 Workshop on Continual Adaptation at Scale

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Gintare Karolina Dziugaite

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Apr 9, 2026, 11:50:24 PM (9 days ago) Apr 9
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Dear WiML Community,

We are excited to invite submissions for the Continual Adaptation at Scale: Towards Sustainable AI workshop, which will be held at ICML 2026.

Overview Foundation Models (FMs) training is currently very costly – the immense data compute, and energy demands are increasingly unsustainable. Continual adaptation offers a viable alternative, allowing AI models to learn quickly and continually through everyday interactions. This workshop aims to unite a diverse, global community of researchers to discuss new directions that will enable fast continual adaptation at scale, moving from isolated techniques to a cohesive lifecycle for continuously updating models.

Call for Papers We are soliciting 4-page submissions of contributed work. We welcome submissions exploring frameworks, mechanisms, theoretical foundations, and evaluations for adaptation, specifically focusing on the following four directions:

  • Scale & Efficiency: Exploring where plasticity should reside (updating weights, modifying architectures, or relying on in-context learning) for traditional continual learning methods to be feasible at scale.

  • Lifecycle & Alignment: Determining if ‘alignment’ and 'knowledge' can be disentangled across Pre-training, Instruction Tuning, and Alignment (RLHF), and addressing the alignment “tax”.

  • Multimodality: Tackling cross-modal drift and re-evaluating how we measure forward and backward transfer in multimodal foundation models.

  • Deliberate Forgetting: Developing new frameworks that treat intentional and selective data removal (for privacy, safety, or fact updating) as a primary objective.

Important Dates

  • Submission Deadline: April 30, 2026 (23:59 AoE)

  • Notification of Acceptance: May 13, 2026

  • Camera-Ready Deadline: June 15, 2026

Speakers

  • Razvan Pascanu (Google DeepMind, UK)

  • Bing Liu (University of Illinois at Chicago, US)

  • Stephanie Chan (Google DeepMind, US)

  • Jaehong Yoon (Nanyang Technological University, Singapore)

Submission Link & Website

We look forward to your submissions and to seeing you at ICML 2026!

Best regards,

Organizing Committee 

Ghada Sokar, Gintare Karolina Dziugaite, Emtiyaz Khan, Rupam Mahmood, Martin Mundt, Daniel Marczak


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