Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.
Dominique BeainiShenyang HuangJoao Alex CunhaZhiyi LiGabriela Moisescu-ParejaOleksandr DymovSamuel Maddrell-ManderCallum McLeanFrederik WenkelLuis MüllerJama Hussein MohamudAli ParvizMichael CraigMichal KoziarskiJiarui LuZhaocheng ZhuCristian GabelliniKerstin KlaserJosef DeanCas WognumMaciej SypetkowskiGuillaume RabusseauReihaneh RabbanyJian TangChristopher MorrisIoannis KoutisMirco RavanelliGuy WolfPrudencio TossouHadrien MaryTherence BoisAndrew W. FitzgibbonBlazej BanaszewskiChad MartinDominic MastersPublished in: CoRR (2023)
Keyphrases
- multi task
- learning tasks
- multi task learning
- multiple tasks
- multitask learning
- learning problems
- learning models
- sparse learning
- learning algorithm
- supervised learning
- multi class
- prior knowledge
- probabilistic model
- learning process
- mutual information
- hidden variables
- support vector
- learned models
- reinforcement learning
- bayesian networks
- data sets