📣 Call for Papers, ICLR 2026 Workshop Catch, Adapt, and Operate (CAO): Monitoring ML Models Under Drift As ML systems move from benchmarks to real-world deployment, distributional drift becomes unavoidable. This workshop brings together researchers and practitioners working on how to monitor, adapt, and reliably operate machine learning models in dynamic environments. 📄 Submission Tracks To encourage a broad range of contributions, CAO offers multiple tracks: 🔹 Main Track Full technical papers with solid methodology and experimental validation. 🔹 Tiny Papers Track Shorter papers for early ideas, focused insights, or promising preliminary results. 🔹 Special Track, Lessons from Failures A dedicated space for negative results, failed experiments, and practical lessons that don’t always fit traditional venues , but are critical for progress in real-world ML. Paper submissions now open ! 📍 Rio de Janeiro, Brazil 🔗 sites.google.com/view/iclr-2026… #ICLR2026 #MachineLearning #MLSystems #ModelMonitoring @iclr_conf #ICLRworkshop #iclr2026
