2 papers
cs.LG2025
MolPILE -- large-scale, diverse dataset for molecular representation learning
Jakub Adamczyk, Jakub Poziemski, Franciszek Job +2
The size, diversity, and quality of pretraining datasets critically determine the generalization ability of foundation models. Despite their growing importance in chemoinformatics,…
cs.LG2025
Performative Drift Resistant Classification Using Generative Domain Adversarial Networks
Maciej Makowski, Brandon Gower-Winter, Georg Krempl
Performative Drift is a special type of Concept Drift that occurs when a model's predictions influence the future instances the model will encounter. In these settings, retraining…