KolTa active learning framework discovers top formulations with limited queries
KolTa selects batches for top 5% formulations using PRC-UCB, outperforming comparators on viscosity, solubility, and conductivity tasks.
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Stories tagged #active-learning
WISE-ATTA: When to Ask for Labels in Budgeted Active Test-Time Adaptation
WISE-ATTA schedules scarce labels during test-time adaptation and matches prior methods with fewer annotations.
JAREX: An Acquisition Function for Multi-Objective Algorithmic Process Characterization
JAREX maps multi-objective pharmaceutical process pass regions with fewer experiments than factorial design.
Train Smarter, Not Harder: Switching Signal-Guided Training in Active Learning
HybridAL is an active-learning training schedule that switches from retraining to fine-tuning on stabilization signals, saving up to 49% time.